Использованная литература:
погода
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/weather')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 3010 |
'train' | 3010 |
'validation' | 3010 |
- 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"
}
}
туризм_ежегодно
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_yearly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 518 |
'train' | 518 |
'validation' | 518 |
- 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"
}
}
туризм_ежеквартально
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_quarterly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 427 |
'train' | 427 |
'validation' | 427 |
- 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"
}
}
туризм_ежемесячно
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_monthly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 366 |
'train' | 366 |
'validation' | 366 |
- 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"
}
}
сиф_2016
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/cif_2016')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 72 |
'train' | 72 |
'validation' | 72 |
- 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"
}
}
london_smart_meters
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/london_smart_meters')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 5560 |
'train' | 5560 |
'validation' | 5560 |
- 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"
}
}
australian_electricity_demand
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/australian_electricity_demand')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 5 |
'train' | 5 |
'validation' | 5 |
- 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"
}
}
ветровые_фермы_минутно
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/wind_farms_minutely')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 339 |
'train' | 339 |
'validation' | 339 |
- 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"
}
}
биткойн
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/bitcoin')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 18 |
'train' | 18 |
'validation' | 18 |
- 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"
}
}
пешеходные_счета
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/pedestrian_counts')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 66 |
'train' | 66 |
'validation' | 66 |
- 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"
}
}
Vehicle_trips
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/vehicle_trips')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 329 |
'train' | 329 |
'validation' | 329 |
- 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"
}
}
kdd_cup_2018
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/kdd_cup_2018')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 270 |
'train' | 270 |
'validation' | 270 |
- 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"
}
}
nn5_daily
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/nn5_daily')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 111 |
'train' | 111 |
'validation' | 111 |
- 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"
}
}
nn5_еженедельно
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/nn5_weekly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 111 |
'train' | 111 |
'validation' | 111 |
- 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"
}
}
kaggle_web_traffic
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 145063 |
'train' | 145063 |
'validation' | 145063 |
- 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"
}
}
kaggle_web_traffic_weekly
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic_weekly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 145063 |
'train' | 145063 |
'validation' | 145063 |
- 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": {
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"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
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"feat_dynamic_real": {
"feature": {
"feature": {
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"_type": "Value"
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"length": -1,
"id": null,
"_type": "Sequence"
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"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Solar_10_минут
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_10_minutes')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 137 |
'train' | 137 |
'validation' | 137 |
- 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"
}
}
Solar_weekly
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_weekly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 137 |
'train' | 137 |
'validation' | 137 |
- 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"
}
}
автомобильные запчасти
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/car_parts')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 2674 |
'train' | 2674 |
'validation' | 2674 |
- 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"
}
}
Фред_мд
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/fred_md')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 107 |
'train' | 107 |
'validation' | 107 |
- 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"
}
}
трафик_часовой
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/traffic_hourly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 862 |
'train' | 862 |
'validation' | 862 |
- 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"
}
}
трафик_еженедельно
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/traffic_weekly')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 862 |
'train' | 862 |
'validation' | 862 |
- 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"
}
}
больница
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/hospital')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 767 |
'train' | 767 |
'validation' | 767 |
- 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"
}
}
COVID-19 смерти
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/covid_deaths')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 266 |
'train' | 266 |
'validation' | 266 |
- 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"
}
}
солнечное пятно
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/sunspot')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
Согиндей
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/saugeenday')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
us_births
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/us_births')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
Solar_4_секунды
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_4_seconds')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
ветер_4_секунды
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/wind_4_seconds')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
совместная поездка
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/rideshare')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 156 |
'train' | 156 |
'validation' | 156 |
- Функции :
{
"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
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/oikolab_weather')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 8 |
'train' | 8 |
'validation' | 8 |
- 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"
}
}
температура_дождь
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:monash_tsf/temperature_rain')
- Описание :
The first repository containing datasets of related time series for global forecasting.
- Лицензия : Международная лицензия Creative Commons Attribution 4.0. https://creativecommons.org/licenses/by/4.0/
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 422 |
'train' | 422 |
'validation' | 422 |
- Функции :
{
"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"
}
}