Ссылки:
ч1
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:ett/h1')
- Описание :
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.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 240 |
'train' | 1 |
'validation' | 120 |
- Функции :
{
"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"
}
}
ч2
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:ett/h2')
- Описание :
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.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 240 |
'train' | 1 |
'validation' | 120 |
- Функции :
{
"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"
}
}
м1
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:ett/m1')
- Описание :
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.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 0 |
'train' | 1 |
'validation' | 0 |
- Функции :
{
"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"
}
}
м2
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:ett/m2')
- Описание :
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.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 0 |
'train' | 1 |
'validation' | 0 |
- Функции :
{
"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"
}
}