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Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## develop #550 +/- ##
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- Coverage 86.67% 86.14% -0.54%
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Files 153 149 -4
Lines 12390 11783 -607
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- Hits 10739 10150 -589
+ Misses 1651 1633 -18
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examples/plot_rkhs_inner_product.py
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| ).reshape(2, 100), | ||
| np.linspace(0, 1, 100), | ||
| ).plot() | ||
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Add plt.show() after each plot. It removes the ugly Out: <whatever> lines and allows for the code to be executed outside a Jupyter notebook.
| plt.show() |
examples/plot_rkhs_inner_product.py
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| error = np.abs(computed_value - expected_value) | ||
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| # Add new row to the dataframe | ||
| errors_df = pd.concat( |
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You can add a new row in a Pandas dataframe just setting its value, without doing this.
skfda/misc/rkhs_product.py
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| """ | ||
| check_fdata_dimensions(fdata1, dim_domain=1, dim_codomain=1) | ||
| check_fdata_dimensions(fdata2, dim_domain=1, dim_codomain=1) | ||
| if fdata1.n_samples != fdata2.n_samples: |
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Doesn't this prevent that one of the FData has just one sample, for broadcasting?
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Right, I forgot considering broadcasting. I'll include it with the rest of changes and suggestions; working on it.
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Current test errors occur in |
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@m5signorini Maybe I wasn't clear. I was asking if there is anything else that you wanted to include, as the PR is marked as a draft, or if I have your permission to merge it. |
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Yes sorry, forgot to change it from draft. I think it can be merged. |
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Thank you for your answer! However, a test is failing (and the difference between the expected and actual result is too high). Can you take a look at it? |
2 participants
This PR adds the RKHS inner product.
Cases regarding the product between
FDataBasisobjects with different basis or with the covariance function not already expressed in the tensor basis, might be better to not consider them.