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ett

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.
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.
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.
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.
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"
    }
}