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  1. whole-eclipse-editor-templates.zip

    setWeights(new int[] {1, 1}); ${scaleType:newType(org....${array_type}[${array}.length + 1]; System.arraycopy(${array}, 0,...
    dbflute.seasar.org/download/misc/settings/whole-eclipse-editor-templates.zip
    2024-11-12 15:10
      11.2K bytes
     
  2. plot_release_highlights_1_6_0.zip

    1, 6, np.nan]).reshape(-1, 1) y = [0, 0, 1, 1] forest...np.array([0, 1, 6, np.nan]).reshape(-1, 1)\ny = [0, 0, 1, 1]\n\nforest...
    scikit-learn.org/stable/_downloads/151e78f803ff9f3154dd7dbbaf45e0b0/plot_release_highlights_1_6_0...
    2025-01-09 16:28
      19.5K bytes
     
  3. plot_discretization_strategies.zip

    8]]) centers_1 = np.array([[0, 0], [3, 1]]) # construct the...len(strategies) + 1, i) ax.scatter(X[:, 0], X[:, 1], edgecolors="k")...
    scikit-learn.org/stable/_downloads/7b16734166ab4280e940d7fb89dd6113/plot_discretization_strategie...
    2025-01-10 17:03
      7.1K bytes
     
  4. auto_examples_jupyter.zip

    r\"($\\frac{1}{3}$, $\\frac{1}{3}$, $\\frac{1}{3}$)\",\n xy=(1.0 / 3,...n r\"($1$, $0$, $0$)\",\n xy=(1, 0),\n xytext=(1, 0.1),\n xycoords=\"data\",\n...
    scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
    2025-01-10 17:03
      2.2M bytes
      2 views
     
  5. enhanced-sastruts-blank.zip

    0_spec 1.0 runtime commons-logging commons-logging 1.1.1 log4j...geronimo-ejb_3.0_spec 1.0 runtime commons-logging commons-logging 1.1.1 log4j...
    dbflute.seasar.org/download/misc/friends/enhanced-sastruts-blank.zip
    2024-11-12 15:10
      94.9K bytes
      1 views
     
  6. plot_hgbt_regression.zip

    "nswdemand": 1, "nswprice": 1, "vicdemand": -1, "vicprice": -1, } hgbt_no_cst...\"nswdemand\": 1,\n \"nswprice\": 1,\n \"vicdemand\": -1,\n \"vicprice\":...
    scikit-learn.org/stable/_downloads/ef504a3cb245a55fde178198c8218b4a/plot_hgbt_regression.zip
    2025-01-10 17:03
      36.8K bytes
     
  7. plot_multi_metric_evaluation.zip

    1) # Get the regular numpy array...sample_score_mean + sample_score_std, alpha=0.1 if sample == "test" else 0, color=color,...
    scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip
    2025-01-10 17:03
      8.8K bytes
     
  8. plot_pca_iris.zip

    figure(1, figsize=(8, 6)) ax = fig.add_subplot(111,...X_reduced[:, 0], X_reduced[:, 1], X_reduced[:, 2], c=iris.target,...
    scikit-learn.org/stable/_downloads/99402c7ce7a6ab7fafcb48caa3c9447b/plot_pca_iris.zip
    2025-01-10 17:03
      8.5K bytes
     
  9. auto_examples_python.zip

    r"($\frac{1}{3}$, $\frac{1}{3}$, $\frac{1}{3}$)", xy=(1.0 / 3, 1.0 /...plt.annotate( r"($1$, $0$, $0$)", xy=(1, 0), xytext=(1, 0.1), xycoords="data",...
    scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
    2025-01-10 17:03
      1.6M bytes
      5 views
     
  10. plot_kmeans_digits.zip

    1].min() - 1, reduced_data[:, 1].max() + 1 xx, yy =...reduced_data[:, 1].min() - 1, reduced_data[:, 1].max() + 1\nxx, yy =...
    scikit-learn.org/stable/_downloads/1393861b58df827d4c681b80a5be2472/plot_kmeans_digits.zip
    2025-01-10 17:03
      15.5K bytes
     
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