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Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).
1
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0
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460
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Keras ImageDataGenerator vs bounding boxes
I'm trying to implement custom object detection by taking a trained YOLOv2 model in Keras, removing the last layer and retraining it with new data. I'm confused about how to feed the data to Keras, th …
1
vote
1
answer
2k
views
Keras - understanding ImageDataGenerator dimensions
I'm trying to implement custom object detection by taking a trained YOLOv2 model in Keras, removing the last layer and retraining it with new data. I'm confused about how to feed the data to Keras, th …
0
votes
Accepted
Keras - understanding target dimensions for custom-object YOLOv2
I made two mistakes.
First of all, I was appending my data to a list, and ended up with a shape of (79,) as lists within an array can have different lengths and even though they didn't in this case, …
1
vote
1
answer
99
views
Keras - understanding target dimensions for custom-object YOLOv2
I'm trying to implement custom object detection by taking a trained YOLOv2 model in Keras, replacing the last layer and retraining just the last layer with new data (~transfer learning). I have annot …
1
vote
0
answers
363
views
Modeling of multiple user's time series data?
I have a dataset where I have multiple users, and for each user I have time series data. Let's say the problem is similar to people buying cars. I have some personal data, and then a time series of ev …
2
votes
1
answer
6k
views
Date prediction - periodic recurrence
I mostly use Python with the numpy, sklearn libraries, and I'm interested which of its models fits my use case best.
Thank you! …
16
votes
3
answers
26k
views
Using TF-IDF with other features in scikit-learn
What is the best/correct way to combine text analysis with other features? For example, I have a dataset with some text but also other features/categories. scikit-learn's TF-IDF vectorizer transforms …
5
votes
1
answer
4k
views
Doc2vec to calculate cosine similarity - absolutely inaccurate
I'm trying to modify the Doc2vec tutorial to calculate cosine similarity and take Pandas dataframes instead of .txt documents. I want to find the most similar sentence to a new sentence I put in from …
37
votes
6
answers
85k
views
Sentence similarity prediction
Are there any other techniques/algorithms to solve this (preferably with Python and SKLearn, but I'm open to learn about TensorFlow, too)? …
2
votes
1
answer
2k
views
Validation curve unlike SKLearn sample
I'm trying to implement the validation curve based on this SKLearn tutorial. On the site, it shows how based on the parameters the model goes from under- to overfitted, finding the optimal parameter i …
2
votes
1
answer
4k
views
validation_curve differs from cross_val_score?
I'm trying to see how well a decision tree classifier performs on my input. For this I'm trying to use the validation and learning curves and SKLearn's cross-validation methods. However, they differ, …