IceMasterT/autotrain-data-bam-v2

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# AutoTrain Dataset for project: bam-v2

## Dataset Description

This dataset has been automatically processed by AutoTrain for project bam-v2.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"feat_unix": 1548158400,
"feat_date": "2019-01-22 12:00:00",
"id": "BTC/USD",
"feat_open": 3543.58,
"feat_high": 3590.0,
"feat_low": 3523.1,
"target": 3557.860107421875,
"feat_Volume BTC": 3593298.05,
"feat_Volume USD": 1009.88,
"feat_Volume U": null,
"feat_Date": null,
"feat_Open": null,
"feat_High": null,
"feat_Low": null,
"feat_Adj Close": null,
"feat_Volume": null
},
{
"feat_unix": 1627473600,
"feat_date": "2021-07-28 12:00:00",
"id": "BTC/USD",
"feat_open": 40786.1,
"feat_high": 40900.0,
"feat_low": 39601.35,
"target": 39708.12109375,
"feat_Volume BTC": 265.2041301,
"feat_Volume USD": 10530757.42,
"feat_Volume U": null,
"feat_Date": null,
"feat_Open": null,
"feat_High": null,
"feat_Low": null,
"feat_Adj Close": null,
"feat_Volume": null
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"feat_unix": "Value(dtype='int64', id=None)",
"feat_date": "Value(dtype='string', id=None)",
"id": "Value(dtype='string', id=None)",
"feat_open": "Value(dtype='float64', id=None)",
"feat_high": "Value(dtype='float64', id=None)",
"feat_low": "Value(dtype='float64', id=None)",
"target": "Value(dtype='float32', id=None)",
"feat_Volume BTC": "Value(dtype='float64', id=None)",
"feat_Volume USD": "Value(dtype='float64', id=None)",
"feat_Volume U": "Value(dtype='float64', id=None)",
"feat_Date": "Value(dtype='string', id=None)",
"feat_Open": "Value(dtype='float64', id=None)",
"feat_High": "Value(dtype='float64', id=None)",
"feat_Low": "Value(dtype='float64', id=None)",
"feat_Adj Close": "Value(dtype='float64', id=None)",
"feat_Volume": "Value(dtype='int64', 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 | 41362 |
| valid | 10349 |

原始信息汇总

AutoTrain Dataset for project: bam-v2

数据集描述

该数据集由AutoTrain自动处理，用于项目bam-v2。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下所示：

json [ { "feat_unix": 1548158400, "feat_date": "2019-01-22 12:00:00", "id": "BTC/USD", "feat_open": 3543.58, "feat_high": 3590.0, "feat_low": 3523.1, "target": 3557.860107421875, "feat_Volume BTC": 3593298.05, "feat_Volume USD": 1009.88, "feat_Volume U": null, "feat_Date": null, "feat_Open": null, "feat_High": null, "feat_Low": null, "feat_Adj Close": null, "feat_Volume": null }, { "feat_unix": 1627473600, "feat_date": "2021-07-28 12:00:00", "id": "BTC/USD", "feat_open": 40786.1, "feat_high": 40900.0, "feat_low": 39601.35, "target": 39708.12109375, "feat_Volume BTC": 265.2041301, "feat_Volume USD": 10530757.42, "feat_Volume U": null, "feat_Date": null, "feat_Open": null, "feat_High": null, "feat_Low": null, "feat_Adj Close": null, "feat_Volume": null } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "feat_unix": "Value(dtype=int64, id=None)", "feat_date": "Value(dtype=string, id=None)", "id": "Value(dtype=string, id=None)", "feat_open": "Value(dtype=float64, id=None)", "feat_high": "Value(dtype=float64, id=None)", "feat_low": "Value(dtype=float64, id=None)", "target": "Value(dtype=float32, id=None)", "feat_Volume BTC": "Value(dtype=float64, id=None)", "feat_Volume USD": "Value(dtype=float64, id=None)", "feat_Volume U": "Value(dtype=float64, id=None)", "feat_Date": "Value(dtype=string, id=None)", "feat_Open": "Value(dtype=float64, id=None)", "feat_High": "Value(dtype=float64, id=None)", "feat_Low": "Value(dtype=float64, id=None)", "feat_Adj Close": "Value(dtype=float64, id=None)", "feat_Volume": "Value(dtype=int64, id=None)" }

数据集分割

该数据集被分割为训练集和验证集。分割大小如下：

分割名称	样本数量
train	41362
valid	10349