numpy_ml.linear_model.LinearRegression.predict() generates ValueError when used with copy-pasted code, but pip installed version works as expected!! #77
Description
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 current behavior
I have copy-pasted the code for numpy_ml.linear_model.LinearRegression from github and did .fit() and .predict() on some dummy data. I got ValueError on .predict() like this:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) [<ipython-input-10-4be896198177>](https://localhost:8080/#) in <module>() ----> 1 npml_lin_reg2_preds = npml_lin_reg2.predict(X_val) 2 npml_lin_reg2_preds[:10] [<ipython-input-8-fc521849e158>](https://localhost:8080/#) in predict(self, X) 206 if self.fit_intercept: 207 X = np.c_[np.ones(X.shape[0]), X] --> 208 return X @ self.beta ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 1 is different from 11) Describe the expected behavior
Expected behaviour is that .predict() doesn't generate ValueError.
Code to reproduce the issue
not code, here is the link to the notebook: https://colab.research.google.com/drive/12q9r2j4-UpUrPnzvMiPC6rxafa73cY5L?usp=sharing
Other info / logs