TFDS รองรับ รูปแบบ Croissant 🥐 แล้ว! อ่าน เอกสาร เพื่อทราบข้อมูลเพิ่มเติม

หน้านี้ได้รับการแปลโดย Cloud Translation API

monash_tsf

อ้างอิง:

สภาพอากาศ

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/weather')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	3010
`'train'`	3010
`'validation'`	3010

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

การท่องเที่ยว_รายปี

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/tourism_yearly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	518
`'train'`	518
`'validation'`	518

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

การท่องเที่ยว_รายไตรมาส

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/tourism_quarterly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	427
`'train'`	427
`'validation'`	427

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

การท่องเที่ยว_รายเดือน

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/tourism_monthly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	366
`'train'`	366
`'validation'`	366

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

cif_2016

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/cif_2016')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	72
`'train'`	72
`'validation'`	72

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ลอนดอน_สมาร์ท_มิเตอร์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/london_smart_meters')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	5560
`'train'`	5560
`'validation'`	5560

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ความต้องการไฟฟ้าของออสเตรเลีย

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/australian_electricity_demand')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	5
`'train'`	5
`'validation'`	5

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

wind_farms_นาที

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/wind_farms_minutely')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	339
`'train'`	339
`'validation'`	339

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

บิตคอยน์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/bitcoin')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	18
`'train'`	18
`'validation'`	18

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

คนเดินเท้า_counts

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/pedestrian_counts')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	66
`'train'`	66
`'validation'`	66

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

พาหนะ_ทริป

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/vehicle_trips')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	329
`'train'`	329
`'validation'`	329

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

kdd_cup_2018

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/kdd_cup_2018')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	270
`'train'`	270
`'validation'`	270

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

nn5_daily

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/nn5_daily')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	111
`'train'`	111
`'validation'`	111

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

nn5_รายสัปดาห์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/nn5_weekly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	111
`'train'`	111
`'validation'`	111

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

kaggle_web_traffic

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	145063
`'train'`	145063
`'validation'`	145063

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

kaggle_web_traffic_weekly

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic_weekly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	145063
`'train'`	145063
`'validation'`	145063

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

พลังงานแสงอาทิตย์_10_นาที

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/solar_10_minutes')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	137
`'train'`	137
`'validation'`	137

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

พลังงานแสงอาทิตย์_รายสัปดาห์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/solar_weekly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	137
`'train'`	137
`'validation'`	137

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

รถ_ชิ้นส่วน

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/car_parts')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	2674
`'train'`	2674
`'validation'`	2674

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

เฟรด_เอ็มดี

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/fred_md')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	107
`'train'`	107
`'validation'`	107

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

การจราจร_ชั่วโมง

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/traffic_hourly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	862
`'train'`	862
`'validation'`	862

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

การจราจร_รายสัปดาห์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/traffic_weekly')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	862
`'train'`	862
`'validation'`	862

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

โรงพยาบาล

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/hospital')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	767
`'train'`	767
`'validation'`	767

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

การเสียชีวิตจากโควิด

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/covid_deaths')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	266
`'train'`	266
`'validation'`	266

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

จุดแดด

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/sunspot')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	1
`'train'`	1
`'validation'`	1

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ซาวน์เดย์

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/saugeenday')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	1
`'train'`	1
`'validation'`	1

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

us_births

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/us_births')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	1
`'train'`	1
`'validation'`	1

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

พลังงานแสงอาทิตย์_4_วินาที

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/solar_4_seconds')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	1
`'train'`	1
`'validation'`	1

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ลม_4_วินาที

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/wind_4_seconds')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	1
`'train'`	1
`'validation'`	1

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

แชร์รถ

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/rideshare')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	156
`'train'`	156
`'validation'`	156

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

oikolab_weather

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/oikolab_weather')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	8
`'train'`	8
`'validation'`	8

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "dtype": "float32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

อุณหภูมิ_ฝน

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:monash_tsf/temperature_rain')

คำอธิบาย :

The first repository containing datasets of related time series for global forecasting.

ใบอนุญาต : ใบอนุญาต Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
เวอร์ชัน : 1.0.0
แยก :

แยก	ตัวอย่าง
`'test'`	422
`'train'`	422
`'validation'`	422

คุณสมบัติ :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_static_cat": {
        "feature": {
            "dtype": "uint64",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "feat_dynamic_real": {
        "feature": {
            "feature": {
                "dtype": "float32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}