使用 array.reshape(-1, 1) python 重塑数据

Question

Hi i need your help with this mistake:

ValueError: Expected 2D array, got 1D array instead:
array=[0. 0. 0. ... 0. 0. 1.].
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.

The code are:

train, test = train_test_split(dataset_ordenado, test_size = 0.30, random_state = 20201122) 

Objetivo_train=train['results']

Objetivo_test=test['results']

Indep_train=train.drop(['results'],axis=1)

Indep_test=test.drop(['results'],axis=1)


TS = TimeSeriesSplit(n_splits = 5)

dt = DecisionTreeClassifier()

grid = {'max_depth': [5,7,9,11,15], 'min_samples_leaf': [5,7,9,11,13],'criterion': ['gini', 'entropy']}

gs = GridSearchCV(dt, param_grid=grid, cv=TS)


gs.fit(Objetivo_train, Indep_train)

Answer 1

train, test = train_test_split(dataset_ordenado, test_size = 0.30, random_state = 20201122) 

y_train=train['results']

y_test=test['results']

X_train=train.drop(['results'],axis=1)

X_test=test.drop(['results'],axis=1)


TS = TimeSeriesSplit(n_splits = 5)

dt = DecisionTreeClassifier()

grid = {'max_depth': [5,7,9,11,15], 'min_samples_leaf': [5,7,9,11,13],'criterion': ['gini', 'entropy']}

gs = GridSearchCV(dt, param_grid=grid, cv=TS)


gs.fit(X_train, y_train)

I think this will work. You need to put the features (X_train) and then the target column (y_train) in the fit function.