TFDS اکنون از فرمت Croissant 🥐 پشتیبانی می کند! برای دانستن بیشتر مستندات را بخوانید.

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monash_tsf

مراجع:

آب و هوا

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	3010
`'train'`	3010
`'validation'`	3010

ویژگی ها :

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گردشگری_سالانه

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	518
`'train'`	518
`'validation'`	518

ویژگی ها :

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}

فصلنامه_گردشگری

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	427
`'train'`	427
`'validation'`	427

ویژگی ها :

{
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        "_type": "Value"
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}

گردشگری_ماهانه

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	366
`'train'`	366
`'validation'`	366

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
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    "target": {
        "feature": {
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            "id": null,
            "_type": "Value"
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        "length": -1,
        "id": null,
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        "id": null,
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}

cif_2016

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	72
`'train'`	72
`'validation'`	72

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
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            "id": null,
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        "id": null,
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}

london_smart_meters

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	5560
`'train'`	5560
`'validation'`	5560

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
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            "id": null,
            "_type": "Value"
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    "item_id": {
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        "id": null,
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    }
}

تقاضای_برق_استرالیا

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	5
`'train'`	5
`'validation'`	5

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
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    "item_id": {
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        "id": null,
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}

مزارع_بادی_دقیقه

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	339
`'train'`	339
`'validation'`	339

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "feature": {
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}

بیت کوین

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	18
`'train'`	18
`'validation'`	18

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
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}

عابر پیاده

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	66
`'train'`	66
`'validation'`	66

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
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        "feature": {
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        "id": null,
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}

وسیله نقلیه_سفرها

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	329
`'train'`	329
`'validation'`	329

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
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        "id": null,
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    "item_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

kdd_cup_2018

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	270
`'train'`	270
`'validation'`	270

ویژگی ها :

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

nn5_dayly

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	111
`'train'`	111
`'validation'`	111

ویژگی ها :

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

nn5_weekly

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	111
`'train'`	111
`'validation'`	111

ویژگی ها :

{
    "start": {
        "dtype": "timestamp[s]",
        "id": null,
        "_type": "Value"
    },
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        "feature": {
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            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
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    "feat_static_cat": {
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    },
    "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

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	145063
`'train'`	145063
`'validation'`	145063

ویژگی ها :

{
    "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

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	145063
`'train'`	145063
`'validation'`	145063

ویژگی ها :

{
    "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"
    }
}

خورشیدی_10_دقیقه

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	137
`'train'`	137
`'validation'`	137

ویژگی ها :

{
    "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"
    }
}

خورشیدی_هفتگی

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	137
`'train'`	137
`'validation'`	137

ویژگی ها :

{
    "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"
    }
}

قطعات_ماشین

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	2674
`'train'`	2674
`'validation'`	2674

ویژگی ها :

{
    "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"
    }
}

fred_md

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	107
`'train'`	107
`'validation'`	107

ویژگی ها :

{
    "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"
    }
}

ترافیک_ساعتی

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	862
`'train'`	862
`'validation'`	862

ویژگی ها :

{
    "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"
    }
}

ترافیک_هفتگی

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	862
`'train'`	862
`'validation'`	862

ویژگی ها :

{
    "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"
    }
}

بیمارستان

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	767
`'train'`	767
`'validation'`	767

ویژگی ها :

{
    "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"
    }
}

موارد مرگ در اثر کووید

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	266
`'train'`	266
`'validation'`	266

ویژگی ها :

{
    "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"
    }
}

لکه خورشیدی

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	1
`'train'`	1
`'validation'`	1

ویژگی ها :

{
    "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"
    }
}

سوگندی

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	1
`'train'`	1
`'validation'`	1

ویژگی ها :

{
    "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"
    }
}

ما_تولدها

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	1
`'train'`	1
`'validation'`	1

ویژگی ها :

{
    "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"
    }
}

خورشیدی_4_ثانیه

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	1
`'train'`	1
`'validation'`	1

ویژگی ها :

{
    "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"
    }
}

باد_4_ثانیه

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	1
`'train'`	1
`'validation'`	1

ویژگی ها :

{
    "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"
    }
}

اشتراک سواری

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	156
`'train'`	156
`'validation'`	156

ویژگی ها :

{
    "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"
    }
}

اویکولاب_آب و هوا

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	8
`'train'`	8
`'validation'`	8

ویژگی ها :

{
    "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"
    }
}

دما_باران

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

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

توضیحات :

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

مجوز : مجوز بین المللی Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
نسخه : 1.0.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	422
`'train'`	422
`'validation'`	422

ویژگی ها :

{
    "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"
    }
}