解决ValueError: Expected 2D array, got 1D array instead: Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample 在使用机器学习算法进行数据建模时,经常会遇到输入数据的维度问题。其中一个常见的错误是"ValueE...
今天我又错了,我不知道什么原因,记录一下吧: 先上我的错误: Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample. 定位到我的错误代码: input_features=preprocessing.StandardScaler().fit_transform(features...
Python的Reshape your data either using array.reshape(-1, 1) if your data has a single feature or 在使用sklearn进行数据处理的时候出现了报错,如题所示; 报错地方的代码如下 #dataitem = x_train[1]y_predicted.append(clf.predict(dataitem)) 报错的原因是,dataitem是一个数组的类型,而predict()函数应该...
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample. 数据如下: 错误提示: 问题原因:X值类型错误 fit_transform() 要求输入参数X为numpy arry类型 但是直接从data获取的X类型为<cla...
解决ValueError: Expected 2D array, got 1D array instead: Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample 在使用机器学习算法进行数据建模时,经常会遇到输入数据的维度问题。其中一个常见的错误是"ValueE...
成功解决Python的Reshape your data either using array.reshape(-1, 1) if your data has a single feature or 目录 解决问题 解决思路 解决方法 T1、先尝试 T2、再尝试 解决问题 今天写关于决策树的一些算法的
It even says: Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample. (使用array.reshape(-1, 1)重新调整你的数据) 原错误代码: data['标准化累计票房'] = scaler.fit_transform(data['累计票房']) ...
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“dst_host_srv_diff_host_rate”,“dst_host_serror_rate”,“dst_host_srv_serror_rate”,“dst_host_rerror_rate”,“dst_host_srv_rerror_rate”,“label”] test_fields ={“duration”,“protocol_type”,“service”,“flag”,“src_bytes”,“dst_bytes”,“land”,“wrong_fragment”,“...
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