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Hi again,
I am trying to test an image but so far it is not working.
I tried with flem.apply(testImagenames), but I get an error in KNNclassify, it can't find the training features.
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While I'm here, I wanted to point out that at `sktime`, we've started to interface `pyts` algorithms, upon popular demand, to have them indexed for users who are searching for TSC and time series tran…
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Hi ,
I extracted the embedding of my own dataset and feed it to a knn classifier, using the opencv as described in the tmp scripts im doing recognition on a video file with 20FPS and its frame res…
knvpk updated
7 years ago
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How to get a relevance ranking in scikit multilearn? I tried to use the estimates probability returned by predict_proba function. However, in ML-Knn for example, the most likely labels obtained in pre…
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In the 2021-03-26 nightly (and perhaps earlier), `cuml.dask.neighbors.KNeighborsClassifier` fails during `fit` on dask array input if the arrays are backed by CuPy.
```python
from distributed im…
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Hi there,
this seems to be a great platform in javascript for machine learning however it's lacking in popularity compared to other libraries like [Synaptic](https://github.com/cazala/synaptic) whi…
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It would be great to have a `sample_weight` option in the `cuml.LogisticRegression` `fit()` method like in `sklearn`. That way one could easily implement custom penalty methods.
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Consider a real-time face recognition system in the following situations:
- there is only one known person (the one that we want to recognize), for which we have N (~10) pictures.
- there are diff…
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Currently the classification and regression algorithms in the `neighbors` module use a flat prior. They should be modified to compute a prior based on training data, and to optionally accept a user-d…
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In the function XGBOUT2, you have the following code:
```python
num_samp = len(all_samples)
if bootstrap:
np.random.seed()
random.seed()
I = np.random.choice(num_samp, size=num_s…