Bibliografia:
pogoda
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/weather')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 3010 |
'train' | 3010 |
'validation' | 3010 |
- Cechy :
{
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"id": null,
"_type": "Value"
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"target": {
"feature": {
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"feat_static_cat": {
"feature": {
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"feat_dynamic_real": {
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"item_id": {
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}
turystyka_roczna
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_yearly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 518 |
'train' | 518 |
'validation' | 518 |
- 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"
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"length": -1,
"id": null,
"_type": "Sequence"
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"feat_dynamic_real": {
"feature": {
"feature": {
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"id": null,
"_type": "Value"
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"length": -1,
"id": null,
"_type": "Sequence"
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"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
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"id": null,
"_type": "Value"
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}
kwartalnik_turystyczny
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_quarterly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 427 |
'train' | 427 |
'validation' | 427 |
- 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"
}
}
turystyka_miesięczna
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_monthly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 366 |
'train' | 366 |
'validation' | 366 |
- 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"
}
}
cif_2016
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/cif_2016')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 72 |
'train' | 72 |
'validation' | 72 |
- 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"
}
}
london_smart_meters
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/london_smart_meters')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 5560 |
'train' | 5560 |
'validation' | 5560 |
- 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"
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"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
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"item_id": {
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"id": null,
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}
australijski_zapotrzebowanie na energię elektryczną
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/australian_electricity_demand')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 5 |
'train' | 5 |
'validation' | 5 |
- 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"
}
}
wind_farms_minuty
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/wind_farms_minutely')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 339 |
'train' | 339 |
'validation' | 339 |
- 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"
}
}
bitcoiny
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/bitcoin')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 18 |
'train' | 18 |
'validation' | 18 |
- 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"
}
}
liczba pieszych
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/pedestrian_counts')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 66 |
'train' | 66 |
'validation' | 66 |
- 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"
}
}
podróż_pojazdu
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/vehicle_trips')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 329 |
'train' | 329 |
'validation' | 329 |
- 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"
}
}
kdd_cup_2018
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/kdd_cup_2018')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 270 |
'train' | 270 |
'validation' | 270 |
- 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"
}
}
nn5_codziennie
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/nn5_daily')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 111 |
'train' | 111 |
'validation' | 111 |
- 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"
}
}
nn5_co tydzień
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/nn5_weekly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 111 |
'train' | 111 |
'validation' | 111 |
- 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"
}
}
kaggle_web_traffic
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 145063 |
'train' | 145063 |
'validation' | 145063 |
- 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"
}
}
kaggle_web_traffic_weekly
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic_weekly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 145063 |
'train' | 145063 |
'validation' | 145063 |
- 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"
}
}
solar_10_minut
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_10_minutes')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 137 |
'train' | 137 |
'validation' | 137 |
- 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"
}
}
solar_tygodnik
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_weekly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 137 |
'train' | 137 |
'validation' | 137 |
- 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"
}
}
części samochodowe
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/car_parts')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 2674 |
'train' | 2674 |
'validation' | 2674 |
- 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"
}
}
fred_md
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/fred_md')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 107 |
'train' | 107 |
'validation' | 107 |
- 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"
}
}
ruch_godzinny
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/traffic_hourly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 862 |
'train' | 862 |
'validation' | 862 |
- 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"
}
}
ruch_tygodniowy
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/traffic_weekly')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 862 |
'train' | 862 |
'validation' | 862 |
- 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"
}
}
szpital
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/hospital')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 767 |
'train' | 767 |
'validation' | 767 |
- 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"
}
}
covid zgony
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/covid_deaths')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 266 |
'train' | 266 |
'validation' | 266 |
- 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"
}
}
plama słoneczna
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/sunspot')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
Saugeenday
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/saugeenday')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
us_urodzenia
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/us_births')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
słoneczne_4_sekundy
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_4_seconds')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
wiatr_4_sekundy
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/wind_4_seconds')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 1 |
'train' | 1 |
'validation' | 1 |
- 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"
}
}
wspólne przejazdy
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/rideshare')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 156 |
'train' | 156 |
'validation' | 156 |
- Cechy :
{
"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
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/oikolab_weather')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 8 |
'train' | 8 |
'validation' | 8 |
- 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"
}
}
temperatura_deszcz
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:monash_tsf/temperature_rain')
- Opis :
The first repository containing datasets of related time series for global forecasting.
- Licencja : Międzynarodowa licencja Creative Commons Uznanie autorstwa 4.0. https://creativecommons.org/licenses/by/4.0/
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 422 |
'train' | 422 |
'validation' | 422 |
- Cechy :
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"feat_static_cat": {
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"feat_dynamic_real": {
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}