training-data
SVM classifier based on HOG features for “object detection” in OpenCV
In order to detect arbitrary objects with using opencv HOG descriptors and SVM classifier, you need to first train the classifier. Playing with the parameters will not help here, sorry 🙁 . In broad terms, you will need to complete the following steps: Step 1) Prepare some training images of the objects you want to … Read more
Parameter “stratify” from method “train_test_split” (scikit Learn)
This stratify parameter makes a split so that the proportion of values in the sample produced will be the same as the proportion of values provided to parameter stratify. For example, if variable y is a binary categorical variable with values 0 and 1 and there are 25% of zeros and 75% of ones, stratify=y … Read more
How to get rid of ValueError: could not convert string to float
Can you try the following: df[‘income’] = df[‘income’].str.replace(‘,’, ”).astype(float) df[‘year’] = df[‘year’].astype(float) reg.fit(df[[‘year’]], df.income)