All Questions
Tagged with python machine-learning
27,337
questions
-1
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0
answers
12
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What Is the best ML API for a Deep Audio Classification Model on the Raspberry Pi 0 2W?
I'd like to get your opinions on which ML API would be best for building an audio classification model. This model will be deployed on a small Raspberry Pi (Raspberry Pi 0 2W; could be something ...
- 1
0
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0
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27
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Decision Tree Classifier gives wrong results
I'm taking a machine learning course with an assignment to implement a fit method for DecisionTreeClassifier.
Here's my code:
import numpy as np
import pandas as pd
class MyTreeClf:
def __init__(...
1
vote
1
answer
44
views
SHAP values for linear model different from those calculated manually
I train a linear model to predict house price, and then I compare the Shapley values calculation manually vs the values returned by the SHAP library and they are slightly different.
My understanding ...
- 989
0
votes
0
answers
22
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Why are gradients None for all variables in my TensorFlow Siamese Network during training?
I'm training a Siamese Network in TensorFlow for image registration. The network takes a pair of images (fixed and moving) and outputs parameters for an affine transformation that aligns the moving ...
- 11
0
votes
0
answers
7
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min_samples_leaf in GradientBoostedClassifier() having weird behavior
Trying to tune the min_samples_leaf in a GradientBoostedClassifer(). I'm seeing expected results with the bias/variance tradeoff. However, just to test the boundaries, I made the min_samples_leaf > ...
-2
votes
0
answers
14
views
How to Improve RAG Performance with Low-Quality PDF Files?
I'm making an RAG project. One of the steps is to extract the text from pdf files. I found that it worked well if the input pdf quality is good, but when the input pdf quality is bad, my RAG fails to ...
0
votes
0
answers
17
views
Implementation of training algorithm for Recurrent Neural Networks with multiple inputs in Keras
I was reading up on RNNs in a book called "Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurelien Geron. I came across a very simple implementation for a sequence-...
0
votes
2
answers
39
views
AttributeError: 'list' object has no attribute 'shape' error
I am trying to predict stock prices. Here is my code:
import pandas as pd
import yfinance as web
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from tensorflow.python.keras.models ...
- 1
0
votes
0
answers
17
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ValueError: Arguments clone_function and input_tensors are only supported for Sequential models or Functional models
I am using Quantization aware training. I refer to the lstm code on the Internet and want to put QAT into lstm, but I encountered a ValueError.
ValueError Traceback (...
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-1
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0
answers
12
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I keep encountering this problem training a Random forest regressor
/usr/local/lib/python3.10/dist-packages/sklearn/base.py:432:
UserWarning: X has feature names, but RandomForestRegressor was fitted without feature names
warnings.warn(
I have tried adding .values ...
-2
votes
0
answers
12
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feature importance with XGboost returns only 1 feature out of 1000 feature
My XGClassifier or XGboost always returns only one feature out of 1000 features while printing get_fscore().
xgbc.get_booster().get_fscore()
output- {feature_m:98}
xgbc= XGBClassifier()
model = xgbc....
- 398
1
vote
1
answer
29
views
Leave one out encoding on test set with transform
Context: When preprocessing a data set using sklearn, you use fit_transform on the training set and transform on the test set, to avoid data leakage. Using leave one out (LOO) encoding, you need the ...
- 251
-1
votes
0
answers
14
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Flask ridge regression model prediction
When I run the application.py it will run and when i give the predicted data points to the model then submit model.then error will be showing like this
Internal Server Error
The server encountered an ...
-1
votes
0
answers
26
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Predicting Lorenz Attractor using the Gratz University LSM model
I am currently studiying LSMs and after reading several papers, i think that I grasped the main inforamtions about this model of Reservoir Computing.
However, I am struggling to get good results with ...
1
vote
2
answers
46
views
Hidden Markov Model in hmmlearn Not Converging
I'm using the hmmlearn library to fit a Hidden Markov Model (HMM) to a dataset I've generated, but I'm encountering an issue where the model does not converge. Below is my code:
a = np.array([
[0....
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