Maniteja Nandana

2016-03-21 18:35:44 UTC

Hello everyone,

My name is Maniteja, a senior year computer science student from India (

github <https://github.com/maniteja123>)

It was been a wonderful learning opportunity contributing to the library

for the past few months and would like to thank everyone for their support

and patiently answering my questions. I am really eager to contribute more

to my best abilities. Since it was proposed to work on existing PRs, I have

also added better detailed version at here

<https://github.com/maniteja123/scikit-learn/wiki/Various-enhancements-to-scikit-learn>

I wanted to seek feedback on the following issues and PRs . If any of the

authors of the following PRs are interested to work on their PRs please let

me know and I am sorry for not asking prior permission since I couldn't

contact each of you and also didn't want to create noise by commenting on

all the PRs. Hope you understand. If it is okay for me to try working on

these, please let me know your opinions and suggestions.

Semi-supervised Naive Bayes using Expectation Maximization #430

<https://github.com/scikit-learn/scikit-learn/pull/430>

Meta estimator for self trained model #1243

<https://github.com/scikit-learn/scikit-learn/issues/1243>

Use Bayesian priors in Nearest Neighbors classifier #399

<https://github.com/scikit-learn/scikit-learn/issues/399> #970

<https://github.com/scikit-learn/scikit-learn/pull/970%5C>

Classifier Chain for multi-label problems PRs: #3727

<https://github.com/scikit-learn/scikit-learn/pull/3727> #4759

<https://github.com/scikit-learn/scikit-learn/issues/4759>

Label power set multilabel classification strategy PRs: #2461

<https://github.com/scikit-learn/scikit-learn/pull/2461>

Multioutput bagging #4848

<https://github.com/scikit-learn/scikit-learn/pull/4848>

Added 'average' option to passive aggressive classifier/regressor. #4939

<https://github.com/scikit-learn/scikit-learn/pull/4939>

Add "grouped" option to Scaler classes: #4963

<https://github.com/scikit-learn/scikit-learn/pull/4963>

Metric precision at k score #4975

<https://github.com/scikit-learn/scikit-learn/4975>

Implement haversine metric in pairwise #4458

<https://github.com/scikit-learn/scikit-learn/pull/4458> #4453

<https://github.com/scikit-learn/scikit-learn/issues/4453>

Add KNN strategy for imputation #4844

<https://github.com/scikit-learn/scikit-learn/pull/4844>

Add resample to preprocessing. #1454

<https://github.com/scikit-learn/scikit-learn/pull/1454> #6568

<https://github.com/scikit-learn/scikit-learn/issues/6568>

Added metrics support for multiclass-multioutput classification #3681

<https://github.com/scikit-learn/scikit-learn/pull/3681>

random neural network algorithm #4703

<https://github.com/scikit-learn/scikit-learn/pull/4703>

Thank you for your time and waiting to hear back from you !

Yours sincerely,

Maniteja.

My name is Maniteja, a senior year computer science student from India (

github <https://github.com/maniteja123>)

It was been a wonderful learning opportunity contributing to the library

for the past few months and would like to thank everyone for their support

and patiently answering my questions. I am really eager to contribute more

to my best abilities. Since it was proposed to work on existing PRs, I have

also added better detailed version at here

<https://github.com/maniteja123/scikit-learn/wiki/Various-enhancements-to-scikit-learn>

I wanted to seek feedback on the following issues and PRs . If any of the

authors of the following PRs are interested to work on their PRs please let

me know and I am sorry for not asking prior permission since I couldn't

contact each of you and also didn't want to create noise by commenting on

all the PRs. Hope you understand. If it is okay for me to try working on

these, please let me know your opinions and suggestions.

Semi-supervised Naive Bayes using Expectation Maximization #430

<https://github.com/scikit-learn/scikit-learn/pull/430>

Meta estimator for self trained model #1243

<https://github.com/scikit-learn/scikit-learn/issues/1243>

Use Bayesian priors in Nearest Neighbors classifier #399

<https://github.com/scikit-learn/scikit-learn/issues/399> #970

<https://github.com/scikit-learn/scikit-learn/pull/970%5C>

Classifier Chain for multi-label problems PRs: #3727

<https://github.com/scikit-learn/scikit-learn/pull/3727> #4759

<https://github.com/scikit-learn/scikit-learn/issues/4759>

Label power set multilabel classification strategy PRs: #2461

<https://github.com/scikit-learn/scikit-learn/pull/2461>

Multioutput bagging #4848

<https://github.com/scikit-learn/scikit-learn/pull/4848>

Added 'average' option to passive aggressive classifier/regressor. #4939

<https://github.com/scikit-learn/scikit-learn/pull/4939>

Add "grouped" option to Scaler classes: #4963

<https://github.com/scikit-learn/scikit-learn/pull/4963>

Metric precision at k score #4975

<https://github.com/scikit-learn/scikit-learn/4975>

Implement haversine metric in pairwise #4458

<https://github.com/scikit-learn/scikit-learn/pull/4458> #4453

<https://github.com/scikit-learn/scikit-learn/issues/4453>

Add KNN strategy for imputation #4844

<https://github.com/scikit-learn/scikit-learn/pull/4844>

Add resample to preprocessing. #1454

<https://github.com/scikit-learn/scikit-learn/pull/1454> #6568

<https://github.com/scikit-learn/scikit-learn/issues/6568>

Added metrics support for multiclass-multioutput classification #3681

<https://github.com/scikit-learn/scikit-learn/pull/3681>

random neural network algorithm #4703

<https://github.com/scikit-learn/scikit-learn/pull/4703>

Thank you for your time and waiting to hear back from you !

Yours sincerely,

Maniteja.