ValueError: found input variables with inconsistent numbers of samples 是一个常见的错误,通常出现在使用 scikit-learn 等机器学习库进行模型训练时。这个错误表明,输入给模型的特征集(X)和目标变量(y)的样本数量不一致。简单来说,就是特征集和目标变量中的行数不匹配。
ValueError: Found input variables with inconsistent numbers of samples: [140, 1120] 怎么解决? 简介:这个错误通常发生在机器学习模型的训练中,它表示输入数据的样本数量不一致。在你的情况下,你的输入数据中有两个变量,一个变量的样本数量为140,另一个变量的样本数量为1120,因此这个错误就出现了。为了解决这个问...
ValueError: Found input variables with inconsistent numbers of samples: [86, 891] 值错误:发现输入参数变量与样本数不一致:[86,891]。我们可以输出参数变量的形状查看,发现的确不一致,找到了问题的根源! print(X.shape) print(y.shape) (86, 4) (891,) 1. 2. 3. 4. 5. 解决方法 对问题进行改进,...
print(y_test.shape) after that, I want build model BiLSTM. LSTMmodel = keras.Sequential() LSTMmodel.add(Embedding(14301, 32, input_length=X_train.shape[1], name="embedding")) LSTMmodel.add(Bidirectional(LSTM(64, return_sequences=True), backward_layer=LSTM(64, return_sequences=True, go...
ValueError: Found input variables with inconsistent numbers of samples: [86, 891] 解决思路 值错误:发现输入参数变量与样本数不一致:[86,891]。我们可以输出参数变量的形状查看,发现的确不一致,找到了问题的根源! print(X.shape) print(y.shape)
ValueError: Found input variables with inconsistent numbers of samples: [86, 891] 解决思路 值错误:发现输入参数变量与样本数不一致:[200000,150000]。我们可以输出参数变量的形状查看,发现的确不一致,找到了问题的根源! print(X_train.shape) print(y_train.shape) (200000, 32) (150000,) 解决方法 对...
ValueError: Found input variables with inconsistent numbers of samples: [3, 4] In this example, theValueErroroccurs when trying to fit alinear regressionmodel using thefit()method of the LinearRegression class. The error is caused by having an inconsistent number of samples in the input variables...
(*arrays) 253 uniques = np.unique(lengths) 254 if len(uniques) > 1: --> 255 raise ValueError("Found input variables with inconsistent numbers of" 256 " samples: %r" % [int(l) for l in lengths]) 257 ValueError: Found input variables with inconsistent numbers of samples: [13204, ...
ValueError: Found input variables with inconsistent numbers of samples: [86, 891] 解决思路 值错误:发现输入参数变量与样本数不一致:[86,891]。我们可以输出参数变量的形状查看,发现的确不一致,找到了问题的根源! print(X.shape) print(y.shape)
It looks like you're encountering an issue with the dimensions of your input data. The error message "ValueError: Found input variables with inconsistent numbers of samples: [1, 12275]" typically occurs when there is a mismatch in the number of samples between your input features and your tar...