numpy-ml

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@ddbourgin Have an issue where updates to gradients cannot be performed since shapes conflict during backprop... specifically in the optimizer file. Error reads: ``` C[param_name]["mean"] = d1 * mean +...

srs3

update forks

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update forks

bruce1408

Best choice for my use case?

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G'day, how's it going? I've just started looking into machine learning stuff, and stumbled upon this, looks awesome! I just want to know what kind of methods I should use...

mitch0s

`numpy_ml.linear_model.LinearRegression.predict()` generates `ValueError` when used with copy-pasted code, but pip installed version works as expected!!

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**System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04 - Python version: 3.7.12 - NumPy version: 1.21.5 (environment is Google Colab on 20-Mar, 2022.) **Describe the...

naveenmarthala

Added hard and soft Kmeans clustering with tests

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This submission addresses the issue tracked in https://github.com/ddbourgin/numpy-ml/issues/69 We have implemented a soft and hard version of kmeans clustering. The works done can be summarized as follows: 1. [Hard kmeans...

kenluck2001

In response to Issue #67: Naive Bayes Classifier added along with a unit testing file; also, included a test_use_cases.py file to compare the accuracy of naive bayes models using both numpy-ml and scikit-learn using dataset in the file wine.data

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### All Submissions * [Yes] Is the code you are submitting your own work? * [Yes] Have you followed the [contributing guidelines](https://github.com/ddbourgin/numpy-ml/CONTRIBUTING.md)? * [Yes] Have you checked to ensure there...

rishabh-jain14

Feature Request: Clustering Kmeans (hard and soft version)

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There is no clustering apart from the EM for Gaussian mixtures already in the project. Hence, I would like to implement a kmeans algorithm both the hard clustering version which...

kenluck2001

data = pd.read_csv('Data/Bankloan.csv', sep=';') for i in ['debtinc', 'creddebt', 'othdebt']: data[i] = data[i].str.replace(',', '.').astype('float') train, test, y_train, y_test = train_test_split(data.drop('default', axis=1), data['default'], test_size=0.3, stratify=data['default'], random_state=42) X_train = pd.get_dummies(train) X_test =...

Gewissta

### All Submissions * [ ] Is the code you are submitting your own work? * [ ] Have you followed the [contributing guidelines](https://github.com/ddbourgin/numpy-ml/CONTRIBUTING.md)? * [ ] Have you checked...

Aditi014

Using numpy.tensordot for Conv2D

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From this link: https://stackoverflow.com/questions/56085669/convolutional-layer-in-python-using-numpy and https://numpy.org/doc/stable/reference/generated/numpy.tensordot.html `Z = np.tensordot(X_pad, weights, axes=3) + self.bias` Does this function is more relevant that using im2col?

tetrahydra