[shogun] Need help for class list

[Tiramisu Ling]

Hi there,
I meet some question for DynamicArray refactoring. Here is the error and
description,
https://github.com/shogun-toolbox/shogun/pull/3832#pullrequestreview-43288446.
It seems like it doesn't know which DynamicArray we are going to
init(DynamicArra or DynamicArray) what should I do to solve that
error? Thank you!
And I already send it to lisitsyn, sorry for the duplicate message.

Best regards,
MikeLing

Thank you,
MikeLing

Re: [shogun] [GSoC] Weekly Report for Apply Shogun Framework to Basketball Data Analyzation

[Fernando J . Iglesias García]

On 10 June 2017 at 02:51, Ting Pan  wrote:

> Hi all,
>
> Sorry for the late weekly report of the first week because of the exams:(
> I will do this on Monday next time.
>
> During the first week of GSoC, I mainly work on building ipython notebook
> for player clustering and game result prediction. I finished the data
> collection and did some data cleaning stuff as well. I will finish all
> Python notebooks for both clustering and prediction and work on training a
> model to classify players into different types this week. My weekly blog
> about clustering basketball players with Shogun is here: link
> 
>
> *Achievements:*
>
> • I wrote data collection script and collected necessary data from
> stats.nba.com and finished data cleaning and formatting for this project.
>

Hey Ting,

Do you have this code also somewhere in github?


> • I have listed all the data format of the dataset and explain each
> attribute. I wrote the description for play type data, particularly which
> is the main data type for this project.
> • I finished the K-means clustering notebook and refactored loss function
> with the advice by mentors. With this notebook, I clustered the players
> into different types with K-means and will finish labeling the players
> based on the clustering result in this week
>
> *Plan for this week:*
>
> • I have listed all the ideas I collected during the last week and will
> pick up the most related ideas and think about how those ideas can be
> applied to our project.
> • I will represent each team with the average score of each type and the
> played-time of each type for the prediction. And then I will finish
> creating proofs of concept that we could predict the game result based on
> player types.
> • I will also train a model to classify players into different types base
> on K-means clustering results.
>
> Best regards,
> Ting Pan
>