如何拆分测试并训练npzfiles数据?

时间:2019-05-14 21:50:11

标签: python numpy scikit-learn

我现在将.txt数据转换为npzfile,我想将其拆分以测试并在GAN中训练Train Generator,但我不知道如何定义x,然后使用:

handleChange = (selectedOptions, action) => {
    selectedOptions.sort((a, b) => { // <=== THIS DOESN'T WORK
        return a.value - b.value;    // <=== THIS DOESN'T WORK
    });                              // <=== THIS DOESN'T WORK
    this.setState({selectedOptions});
    const {onSelectedOption} = this.props;
    onSelectedOption(selectedOptions);
};


render() {
    const {selectedOptions, options, error} = this.state;
    return (
        <div>
            <Select
                isMulti
                closeMenuOnSelect={false}
                value={selectedOptions}
                onChange={this.handleChange}
                options={options}
                isClearable={false}
                isSearchable={false}
                placeholder="Months..."
                classNamePrefix="react-select"
            />
            {error && <div className="alert alert-danger">{error}</div>}
        </div>
    );
}

注意:我的数据没有标签。

我的数据是:

x_train, x_test  = train_test_split(x, test_size=0.2, random_state=0)

0 个答案:

没有答案