参考：
h1
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:ett/h1')
- 说明：
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.
- 许可：Creative Commons Attribution 4.0 International License。https://creativecommons.org/licenses/by/4.0/
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
240 |
'train' |
1 |
'validation' |
120 |
- 特征：
{
"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
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:ett/h2')
- 说明：
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.
- 许可：Creative Commons Attribution 4.0 International License。https://creativecommons.org/licenses/by/4.0/
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
240 |
'train' |
1 |
'validation' |
120 |
- 特征：
{
"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
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:ett/m1')
- 说明：
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.
- 许可：Creative Commons Attribution 4.0 International License。https://creativecommons.org/licenses/by/4.0/
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
0 |
'train' |
1 |
'validation' |
0 |
- 特征：
{
"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
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:ett/m2')
- 说明：
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.
- 许可：Creative Commons Attribution 4.0 International License。https://creativecommons.org/licenses/by/4.0/
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
0 |
'train' |
1 |
'validation' |
0 |
- 特征：
{
"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"
}
}