title: what is the meaning of bins of lightgbm?
body: <p>I am using <a href="https://lightgbm.readthedocs.io/en/latest/" rel="nofollow noreferrer">lightgbm</a> to do the prediction competition recently, it is my first time using this decision tree model, and I am a beginner of machine learning, when I train the model to fit the data, I got the results below:</p>
  
  <pre><code>[LightGBM] [Info] Total Bins 3499
  [LightGBM] [Info] Number of data: 595192, number of used features: 25
  /Users/Jame/anaconda3/lib/python3.6/site- 
  packages/lightgbm/basic.py:725: UserWarning: categorical_feature in 
  param dict is overridden.
  warnings.warn('categorical_feature in param dict is overridden.')
  [LightGBM] [Warning] Unknown parameter: vebose
  [1] valid_0's multi_logloss: 2.35527
   Training until validation scores don't improve for 50 rounds.
  [2] valid_0's multi_logloss: 2.31477
  [3] valid_0's multi_logloss: 2.27614
  [4] valid_0's multi_logloss: 2.23926
  [5] valid_0's multi_logloss: 2.20397
  [6] valid_0's multi_logloss: 2.16997
  [7] valid_0's multi_logloss: 2.1372
  [8] valid_0's multi_logloss: 2.10566
  [9] valid_0's multi_logloss: 2.07528
  </code></pre>
  
  <p>as you can see from the first line, what is the Bins means in lightgbm, where can I get the detail, go to the <a href="https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree.pdf" rel="nofollow noreferrer">paper</a> fo lightgbm??</p>
  
  <p>Thanks a lot!</p>