datasets of sklearn
二叉樹層序遍歷(Java)
class Solution {
List<List<Integer>> node=new ArrayList();
public List<List<Integer>> levelOrder(TreeNode root) {
cx(root,0);
return node;
}
public void cx(TreeNode root,int k){
if(root!=null){
if (node.size()<=k)
{
node.add(new ArrayList());
}
node.get(k).add(root.val);
cx(root.left,k+1);
cx(root.right,k+1);
}
}
}
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datasets of sklearn
datasets sklearn提供了一些內建的小的玩具資料。 也可以載入外部的一些資料。
Confusion Matrix of sklearn
Confusion Matrix https://machinelearningmastery.com/confusion-matrix-machine-learning/ 混淆矩陣是一種總結分類演算法效能的技術。
Classification report of sklearn
Classification report The classification_report function builds a text report showing the main classification metrics. Here is a small example with custom target_names and inferred labels:
Transforming the prediction target of sklearn
concept https://scikit-learn.org/stable/modules/preprocessing_targets.html#preprocessing-targets 對於監督性學習,其目標值需要進行轉化,才能作為模型的目標,或者更加有效地適應模型。
multilabel of sklearn
multilabel https://scikit-learn.org/stable/modules/multiclass.html#multilabel-classification 多標記, 對於一個樣本資料, 多個可能的標籤。
Multiclass and multioutput overview of sklearn
Multiclass and multioutput algorithms https://scikit-learn.org/stable/modules/multiclass.html# sklearn 支援如下典型型別學習
statistical learning - supervised_learning of sklearn
統計學習 https://scikit-learn.org/stable/tutorial/statistical_inference/index.html 資料量不停增加,增加了機器學習的重要性。
statistical learning -- Unsupervised learning of sklearn
Unsupervised learning https://scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html
Visualizing the stock market structure of sklearn
Visualizing the stock market structure https://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html#stock-market
Manifold learning of sklearn
Manifold learning https://scikit-learn.org/stable/modules/manifold.html#locally-linear-embedding 流形學習是一種非線性降維方法,演算法是基於一種想法,很多資料集的高緯度是人為製造的高,並不是真的高。
Column Transformer with Mixed Types -- of sklearn
Column Transformer with Mixed Types https://scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html#sphx-glr-auto-examples-compose-plot-column-transformer-mixed-types-py
Column Transformer with Heterogeneous Data Sources -- of sklearn
Column Transformer with Heterogeneous Data Sources https://scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html#sphx-glr-auto-examples-compose-plot-column-transformer-py
Feature extraction of sklearn
Feature extraction https://scikit-learn.org/stable/modules/feature_extraction.html 從文字或圖片的資料集中提取出機器學習支援的資料格式。
Sample pipeline for text feature extraction and evaluation of sklearn
Sample pipeline for text feature extraction and evaluation https://scikit-learn.org/stable/auto_examples/model_selection/grid_search_text_feature_extraction.html#sphx-glr-auto-examples-model-selection
Clustering text documents using k-means of sklearn
Clustering text documents using k-means https://scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html#sphx-glr-auto-examples-text-plot-document-clustering-py
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