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chore(boards): 调整mixpy下sklearn模块

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王立帮
2025-09-24 21:42:24 +08:00
parent b76967b157
commit 26461c6bd0
8 changed files with 135 additions and 49 deletions
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boards/default_src/python_mixpy/generators/sklearn.js
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@@ -8,7 +8,7 @@ export const sklearn_make_classification = function (_, generator) {
var value_n_clusters_per_class = generator.valueToCode(this, 'n_clusters_per_class', generator.ORDER_ATOMIC) || '2';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_make_classification'] = 'from sklearn.datasets import make_classification';
var code = 'make_classification(n_samples=' + value_n_samples + ',n_features=' + value_n_features + ',n_informative=' + value_n_informative + ',n_redundant=' + value_n_redundant + ',n_repeated=' + value_n_repeated + ',n_classes=' + value_n_classes + ',n_clusters_per_class=' + value_n_clusters_per_class + ',random_state=' + value_random_state + ')';
var code = 'make_classification(n_samples=' + value_n_samples + ', n_features=' + value_n_features + ', n_informative=' + value_n_informative + ', n_redundant=' + value_n_redundant + ', n_repeated=' + value_n_repeated + ', n_classes=' + value_n_classes + ', n_clusters_per_class=' + value_n_clusters_per_class + ', random_state=' + value_random_state + ')';
return [code, generator.ORDER_ATOMIC];
}
@@ -22,7 +22,7 @@ export const sklearn_make_regression = function (_, generator) {
var value_noise = generator.valueToCode(this, 'noise', generator.ORDER_ATOMIC) || '0.0';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_make_regression'] = 'from sklearn.datasets import make_regression';
var code = 'make_regression(n_samples=' + value_n_samples + ',n_features=' + value_n_features + ',n_informative=' + value_n_informative + ',n_targets=' + value_n_targets + ',bias=' + value_bias + ',noise=' + value_noise + ',random_state=' + value_random_state + ')';
var code = 'make_regression(n_samples=' + value_n_samples + ', n_features=' + value_n_features + ', n_informative=' + value_n_informative + ', n_targets=' + value_n_targets + ', bias=' + value_bias + ', noise=' + value_noise + ', random_state=' + value_random_state + ')';
return [code, generator.ORDER_ATOMIC];
}
@@ -36,7 +36,7 @@ export const sklearn_make_blobs = function (_, generator) {
var value_shuffle = generator.valueToCode(this, 'shuffle', generator.ORDER_ATOMIC) || 'True';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_make_blobs'] = 'from sklearn.datasets import make_blobs';
var code = 'make_blobs(n_samples=' + value_n_samples + ',n_features=' + value_n_features + ',centers=' + value_centers + ',cluster_std=' + value_cluster_std + ',center_box=' + value_center_box + ',shuffle=' + value_shuffle + ',random_state=' + value_random_state + ')';
var code = 'make_blobs(n_samples=' + value_n_samples + ', n_features=' + value_n_features + ', centers=' + value_centers + ', cluster_std=' + value_cluster_std + ', center_box=' + value_center_box + ', shuffle=' + value_shuffle + ', random_state=' + value_random_state + ')';
return [code, generator.ORDER_ATOMIC];
}
@@ -64,10 +64,11 @@ export const sklearn_train_test_split = function (_, generator) {
var value_test_size = generator.valueToCode(this, 'test_size', generator.ORDER_ATOMIC) || '0.3';
var value_rondom_state = generator.valueToCode(this, 'rondom_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_train_test_split'] = 'from sklearn.model_selection import train_test_split';
if (value_train_target == 'None')
var code = 'train_test_split(' + value_train_data + ',test_size = ' + value_test_size + ',random_state = ' + value_rondom_state + ')';
else
var code = 'train_test_split(' + value_train_data + ',' + value_train_target + ',test_size = ' + value_test_size + ',random_state = ' + value_rondom_state + ')';
if (value_train_target == 'None') {
var code = 'train_test_split(' + value_train_data + ', test_size=' + value_test_size + ', random_state=' + value_rondom_state + ')';
} else {
var code = 'train_test_split(' + value_train_data + ', ' + value_train_target + ', test_size=' + value_test_size + ', random_state=' + value_rondom_state + ')';
}
return [code, generator.ORDER_ATOMIC];
}
@@ -77,7 +78,7 @@ export const sklearn_train_test_split_no_target = function (_, generator) {
var value_test_size = generator.valueToCode(this, 'test_size', generator.ORDER_ATOMIC) || '0.3';
var value_rondom_state = generator.valueToCode(this, 'rondom_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_train_test_split'] = 'from sklearn.model_selection import train_test_split';
var code = 'train_test_split(' + value_train_data + ',test_size = ' + value_test_size + ',random_state = ' + value_rondom_state + ')';
var code = 'train_test_split(' + value_train_data + ', test_size=' + value_test_size + ', random_state=' + value_rondom_state + ')';
return [code, generator.ORDER_ATOMIC];
}
@@ -88,7 +89,7 @@ export const sklearn_LinearRegression = function (_, generator) {
var value_normalize = generator.valueToCode(this, 'normalize', generator.ORDER_ATOMIC) || 'False';
var value_n_jobs = generator.valueToCode(this, 'n_jobs', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_linear_model'] = 'from sklearn.linear_model import LinearRegression';
var code = value_model_name + ' = LinearRegression(fit_intercept = ' + value_fit_intercept + ',normalize = ' + value_normalize + ',n_jobs = ' + value_n_jobs + ')\n';
var code = value_model_name + ' = LinearRegression(fit_intercept=' + value_fit_intercept + ', normalize=' + value_normalize + ', n_jobs=' + value_n_jobs + ')\n';
return code;
}
@@ -101,7 +102,7 @@ export const sklearn_Ridge = function (_, generator) {
var value_max_iter = generator.valueToCode(this, 'max_iter', generator.ORDER_ATOMIC) || '300';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_linear_model'] = 'from sklearn.linear_model import Ridge';
var code = value_model_name + ' = Ridge(alpha = ' + value_alpha + ',fit_intercept = ' + value_fit_intercept + ',normalize = ' + value_normalize + ',max_iter = ' + value_max_iter + ',random_state = ' + value_random_state + ')\n';
var code = value_model_name + ' = Ridge(alpha=' + value_alpha + ', fit_intercept=' + value_fit_intercept + ', normalize=' + value_normalize + ', max_iter=' + value_max_iter + ', random_state=' + value_random_state + ')\n';
return code;
}
@@ -112,7 +113,7 @@ export const sklearn_DecisionTreeClassifier_Regressor = function (_, generator)
var value_max_depth = generator.valueToCode(this, 'max_depth', generator.ORDER_ATOMIC) || 'None';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_' + dropdown_type] = 'from sklearn.tree import ' + dropdown_type;
var code = value_model_name + ' = ' + dropdown_type + '(max_depth = ' + value_max_depth + ',random_state = ' + value_random_state + ')\n';
var code = value_model_name + ' = ' + dropdown_type + '(max_depth=' + value_max_depth + ', random_state=' + value_random_state + ')\n';
return code;
}
@@ -124,7 +125,7 @@ export const sklearn_RandomForestClassifier_Regressor = function (_, generator)
var value_n_jobs = generator.valueToCode(this, 'n_jobs', generator.ORDER_ATOMIC) || 'None';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_' + dropdown_type] = 'from sklearn.ensemble import ' + dropdown_type;
var code = value_model_name + ' = ' + dropdown_type + '(n_estimators = ' + value_n_estimators + ',max_depth = ' + value_max_depth + ',n_jobs = ' + value_n_jobs + ',random_state = ' + value_random_state + ')\n';
var code = value_model_name + ' = ' + dropdown_type + '(n_estimators=' + value_n_estimators + ', max_depth=' + value_max_depth + ', n_jobs=' + value_n_jobs + ', random_state=' + value_random_state + ')\n';
return code;
}
@@ -135,7 +136,7 @@ export const sklearn_KNeighborsClassifier_Regressor = function (_, generator) {
var value_K = generator.valueToCode(this, 'K', generator.ORDER_ATOMIC) || '5';
var value_n_jobs = generator.valueToCode(this, 'n_jobs', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_' + dropdown_type] = 'from sklearn.neighbors import ' + dropdown_type;
var code = value_model_name + ' = ' + dropdown_type + '(n_neighbors = ' + value_K + ',n_jobs = ' + value_n_jobs + ')\n';
var code = value_model_name + ' = ' + dropdown_type + '(n_neighbors=' + value_K + ', n_jobs=' + value_n_jobs + ')\n';
return code;
}
@@ -170,7 +171,7 @@ export const sklearn_KMeans = function (_, generator) {
var value_max_iter = generator.valueToCode(this, 'max_iter', generator.ORDER_ATOMIC) || '300';
var value_random_state = generator.valueToCode(this, 'random_state', generator.ORDER_ATOMIC) || 'None';
generator.definitions_['import_sklearn_KMeans'] = 'from sklearn.cluster import KMeans';
var code = value_model_name + ' = KMeans(n_clusters = ' + value_n_clusters + ',max_iter = ' + value_max_iter + ',random_state = ' + value_random_state + ')\n';
var code = value_model_name + ' = KMeans(n_clusters=' + value_n_clusters + ', max_iter=' + value_max_iter + ', random_state=' + value_random_state + ')\n';
return code;
}
@@ -186,10 +187,11 @@ export const sklearn_fit = function (_, generator) {
var value_model_name = generator.valueToCode(this, 'model_name', generator.ORDER_ATOMIC) || 'model';
var value_train_data = generator.valueToCode(this, 'train_data', generator.ORDER_ATOMIC) || 'X_train';
var value_train_target = generator.valueToCode(this, 'train_target', generator.ORDER_ATOMIC) || 'y_train';
if (value_train_target == 'None')
if (value_train_target == 'None') {
var code = value_model_name + '.fit(' + value_train_data + ')\n';
else
var code = value_model_name + '.fit(' + value_train_data + ',' + value_train_target + ')\n';
} else {
var code = value_model_name + '.fit(' + value_train_data + ', ' + value_train_target + ')\n';
}
return code;
}
@@ -214,10 +216,11 @@ export const sklearn_score = function (_, generator) {
var value_model_name = generator.valueToCode(this, 'model_name', generator.ORDER_ATOMIC) || 'model';
var value_train_data = generator.valueToCode(this, 'train_data', generator.ORDER_ATOMIC) || 'X_train';
var value_train_target = generator.valueToCode(this, 'train_target', generator.ORDER_ATOMIC) || 'y_train';
if (value_train_target == 'None')
if (value_train_target == 'None') {
var code = value_model_name + '.score(' + value_train_data + ')';
else
var code = value_model_name + '.score(' + value_train_data + ',' + value_train_target + ')';
} else {
var code = value_model_name + '.score(' + value_train_data + ', ' + value_train_target + ')';
}
return [code, generator.ORDER_ATOMIC];
}
@@ -252,9 +255,10 @@ export const sklearn_save_load_model = function (_, generator) {
var value_address = generator.valueToCode(this, 'address', generator.ORDER_ATOMIC) || 'D:/mixly/test.pkl';
generator.definitions_['import_sklearn_joblib'] = 'import joblib';
var code = '';
if (dropdown_type == 'dump')
code = 'joblib.dump(' + value_model_name + ',' + value_address + ')\n';
else
if (dropdown_type == 'dump') {
code = 'joblib.dump(' + value_model_name + ', ' + value_address + ')\n';
} else {
code = value_model_name + ' = joblib.load(' + value_address + ')\n';
}
return code;
}