pcoloc/autotrain-dragino-7-7-max_495m-1860863627
Tabular Regression
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 884c3b4cb4aa4974 | [
"feat_rssi",
"feat_snr",
"target"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: dragino-7-7-max_495m
Dataset Description
This dataset has been automatically processed by AutoTrain for project dragino-7-7-max_495m.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"feat_rssi": -91,
"feat_snr": 7.5,
"target": 125.0
},
{
"feat_rssi": -96,
"feat_snr": 5.0,
"target": 125.0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"feat_rssi": "Value(dtype='int64', id=None)",
"feat_snr": "Value(dtype='float64', id=None)",
"target": "Value(dtype='float32', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 853 |
| valid | 286 |
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Models trained or fine-tuned on pcoloc/autotrain-data-dragino-7-7-max_495m