#🔒 Model Training with images

5 messages · Page 1 of 1 (latest)

earnest saddle
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Hello everyone, I have been struggling at doing this by myself so I decided to finally ask for help. I am trying to train a model using images through a directory. I already got all the the images into a dataframe using cv2.imread but I cant figure out how to actually start training. I attempted to train with train_test_split with my first value being all of my normal columns in the dataframe and the second value being a specific one but it just gives me an error around model.fit(X_train, y_train). Any ideas where I should go next?

red meadowBOT
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@earnest saddle

Python help channel opened

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earnest saddle
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Heres the part in the code

feature_cols = ['ART', 'BLA', 'EBO','EOS', 'LYT', 'MMZ','MYB', 'NGB', 'NGS','PEB','PLM','PMO']
feature_cols2 = ['MON']
X = df[feature_cols]
y = df.MON
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,random_state=1)

from sklearn.naive_bayes import GaussianNB
model = GaussianNB()
model.fit(X_train,y_train)
y_pred = model.predict(X_test)
red meadowBOT
#

@earnest saddle

Python help channel closed

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