i tak dalej

Referencje:

h1

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ett/h1')

Opis :

The data of Electricity Transformers from two separated counties
in China collected for two years at hourly and 15-min frequencies.
Each data point consists of the target value "oil temperature" and
6 power load features. The train/val/test is 12/4/4 months.

Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
Wersja : 1.0.0
Podziały :

Podział	Przykłady
`'test'`	240
`'train'`	1
`'validation'`	120

Cechy :

{
    "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"
    }
}

h2

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ett/h2')

Opis :

The data of Electricity Transformers from two separated counties
in China collected for two years at hourly and 15-min frequencies.
Each data point consists of the target value "oil temperature" and
6 power load features. The train/val/test is 12/4/4 months.

Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
Wersja : 1.0.0
Podziały :

Podział	Przykłady
`'test'`	240
`'train'`	1
`'validation'`	120

Cechy :

{
    "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"
    }
}

m1

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ett/m1')

Opis :

The data of Electricity Transformers from two separated counties
in China collected for two years at hourly and 15-min frequencies.
Each data point consists of the target value "oil temperature" and
6 power load features. The train/val/test is 12/4/4 months.

Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
Wersja : 1.0.0
Podziały :

Podział	Przykłady
`'test'`	0
`'train'`	1
`'validation'`	0

Cechy :

{
    "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"
    }
}

m2

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ett/m2')

Opis :

The data of Electricity Transformers from two separated counties
in China collected for two years at hourly and 15-min frequencies.
Each data point consists of the target value "oil temperature" and
6 power load features. The train/val/test is 12/4/4 months.

Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
Wersja : 1.0.0
Podziały :

Podział	Przykłady
`'test'`	0
`'train'`	1
`'validation'`	0

Cechy :

{
    "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"
    }
}