CODEWITHSUNDEEP
pythonpandasmachine-learningscikit-learn
scapiest
scapiest

Reputation: 81

error while performing LDA dimensional reduction with scikit-learn

I've got imported the Dataset from this URL in the pandas Dataframe called df: https://www.kaggle.com/jakeshbohaju/brain-tumor?select=Brain+Tumor.csv

But, while running a linear discriminant analysis, I always get the error on the bottom.

from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
X = df.drop(['label','Image'], axis=1)
y = df[['label']]

lda = LinearDiscriminantAnalysis(n_components=2)
X_r2 = lda.fit(X, y).transform(X)

Error:

ValueError                                Traceback (most recent call last) <ipython-input-41-f7a0f19db224> in <module>
     25 lda = LinearDiscriminantAnalysis(n_components=2)
     26 lda2 = LinearDiscriminantAnalysis(n_components=2)
---> 27 X_r3 = lda2.fit(X_train,y_train.values.ravel()).transform(X_train)
     28 X_r2 = lda.fit(X, y).transform(X)
     29 

~/miniforge3/envs/pyM1/lib/python3.8/site-packages/sklearn/discriminant_analysis.py in fit(self, X, y)
    537         else:
    538             if self.n_components > max_components:
--> 539                 raise ValueError(
    540                     "n_components cannot be larger than min(n_features, "
    541                     "n_classes - 1)."

ValueError: n_components cannot be larger than min(n_features, n_classes - 1).

Upvotes: 3

Views: 1172

Answers (1)

CypherX
CypherX

Reputation: 7353

Solution

lda.fit(X, y) does not return anything and hence you cannot call the method called .transform() on it. The API will allow you to call a method only if it is already defined. Please see the documentation.

Change it to this. I would also encourage you to spend more time on the documentation.

lda = LinearDiscriminantAnalysis(n_components=2)

# either use: lda.fit_transform(X, y)
X_r2 = lda.fit_transform(X, y)

## PREFERRED WAY
# or, use: lda.fit(X, y)
# followed by lda.transform(X)
lda.fit(X, y)
X_r2 = lda.transform(X)

References

  1. LinearDiscriminantAnalysis - Docs

Upvotes: 1

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