Added RadiusNeighborsClassifier

[aadityasinha-dotcom]

Issue Id you have worked upon -

#48

CHANGES MADE -

Added RadiusNeighborsClassifier.

Made changes to -

"https://github.com/blobcity/autoai/blob/main/blobcity/config/classifier_config.py"

NOTE -

Please consider this PR as a submission towards Hacktoberfest 2021 and add the hacktoberfest-accepted label to it.

[Thilakraj1998]

radius neighbor Classifier doesnt have n_neighbors has a parameter:

do refer offical documentation for parameters: https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html

[aadityasinha-dotcom]

radius neighbor Classifier doesnt have n_neighbors has a parameter:

do refer offical documentation for parameters: https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsClassifier.html

Okay, I will recheck that.

[aadityasinha-dotcom]

@Thilakraj1998 I have removed n_neighbors. Is there any changes left that I have missed?

[Thilakraj1998]

@aadityasinha-dotcom

it still missing some of the parameter configuration like radius, metric and outlier_label

[aadityasinha-dotcom]

@Thilakraj1998 It was only missing the radius parameter, I have added that. Is there anything else?

[Thilakraj1998]

@aadityasinha-dotcom for metric parameter there are more then 1 distance metric

do consider consider adding following distance metrics mentioned in the official documentation:
https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.DistanceMetric.html#sklearn.neighbors.DistanceMetric

[aadityasinha-dotcom]

@aadityasinha-dotcom for metric parameter there are more then 1 distance metric

do consider consider adding following distance metrics mentioned in the official documentation: https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.DistanceMetric.html#sklearn.neighbors.DistanceMetric

I have added euclidean, manhattan, mahalanobis and other distances also as a parameter in the metric.

[Thilakraj1998]

@aadityasinha-dotcom
Required Changes:

1. Redundant metric initialization
2. keep outlier label value has most_frequent
3. change range in radius parameter "radius":{'float':[1.0,10.0]},
4. "metric":{'str':['euclidean', 'manhattan', 'chebyshev', 'minkowski']} use only following distance metric due extra args required.

[aadityasinha-dotcom]

@Thilakraj1998 I have made some changes according to your instructions, can you review that?