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docs/content/authors.md
* boosh <******@****.***> * unbelauscht <******@****.***> * Motonori IWAMURO <******@****.***> * Benjapol Worakan <******@****.***> * Dave Koston <dave.koston@stackpath.com> * Durval Menezes <******@****.***> * Tim Gallant <******@****.***> * Frederick Zhang <******@****.***> * valery1707 <******@****.***>
Plain Text - Registered: 2022-11-14 07:43 - Last Modified: 2022-11-10 12:04 - 27.9K bytes - Viewed (1) -
docs/vendor/fontawesome-free-5.15.2-web/svgs/brands/cotton-bureau.svg
cotton-bureau.svg...
SVG Image - Registered: 2023-01-24 09:01 - Last Modified: 2021-01-27 23:30 - 1.4K bytes - Viewed (0) -
machine_learning/random_forest_regressor.py
from sklearn.datasets import load_boston from sklearn.ensemble import RandomForestRegressor from sklearn.metrics import mean_absolute_error, mean_squared_error from sklearn.model_selection import train_test_split def main(): """ Random Forest Regressor Example using sklearn function. Boston house price dataset is used to demonstrate the algorithm. """ # Load Boston house price dataset
Python - Registered: 2022-12-15 19:18 - Last Modified: 2022-10-12 22:54 - 1.2K bytes - Viewed (0) -
machine_learning/random_forest_regressor.py.broken.txt
from sklearn.datasets import load_boston from sklearn.ensemble import RandomForestRegressor from sklearn.metrics import mean_absolute_error, mean_squared_error from sklearn.model_selection import train_test_split def main(): """ Random Forest Regressor Example using sklearn function. Boston house price dataset is used to demonstrate the algorithm. """ # Load Boston house price dataset
Plain Text - Registered: 2023-01-26 19:18 - Last Modified: 2022-12-18 22:26 - 1.2K bytes - Viewed (0) -
machine_learning/gradient_boosting_regressor.py.broken.txt
df = load_boston() print(df.keys()) # now let construct a data frame df_boston = pd.DataFrame(df.data, columns=df.feature_names) # let add the target to the dataframe df_boston["Price"] = df.target # print the first five rows using the head function print(df_boston.head()) # Summary statistics print(df_boston.describe().T) # Feature selection x = df_boston.iloc[:, :-1]
Plain Text - Registered: 2023-01-26 19:18 - Last Modified: 2022-12-18 22:26 - 2.3K bytes - Viewed (0) -
machine_learning/gradient_boosting_regressor.py
df = load_boston() print(df.keys()) # now let construct a data frame df_boston = pd.DataFrame(df.data, columns=df.feature_names) # let add the target to the dataframe df_boston["Price"] = df.target # print the first five rows using the head function print(df_boston.head()) # Summary statistics print(df_boston.describe().T) # Feature selection x = df_boston.iloc[:, :-1]
Python - Registered: 2022-12-15 19:18 - Last Modified: 2022-10-12 22:54 - 2.3K bytes - Viewed (0) -
docs/content/changelog.md
* Force path style bucket access to off for AWS deprecation (Nick Craig-Wood) * Use AWS web identity role provider if available (Tennix) * Add StackPath Object Storage Support (Dave Koston) * Fix ExpiryWindow value (Aleksandar Jankovic) * Fix DisableChecksum condition (Aleksandar Janković) * Fix URL decoding of NextMarker (Nick Craig-Wood) * SFTP
Plain Text - Registered: 2022-11-14 07:43 - Last Modified: 2022-10-21 14:06 - 212.4K bytes - Viewed (0) -
packages/@ember/-internals/glimmer/tests/integration/components/textarea-curly-test.js
this.triggerEvent('paste'); }); this.assertTextArea({ value: 'Hope' }); runTask(() => { this.firstChild.value = 'Boston'; this.triggerEvent('input'); }); this.assertTextArea({ value: 'Boston' }); runTask(() => set(this.context, 'model', { val: 'A beautiful day in Seattle' })); this.assertTextArea({ value: 'A beautiful day in Seattle' }); } }
JavaScript - Registered: 2023-01-26 07:14 - Last Modified: 2022-08-25 20:30 - 2.9K bytes - Viewed (0) -
core/src/test/java/com/alibaba/druid/bvt/sql/oracle/createTable/OracleCreateTableTest28.java
+ " DISABLE, " // + " office VARCHAR2(10) CONSTRAINT check_office" // + " CHECK (office IN ('DALLAS','BOSTON'," // + " 'PARIS','TOKYO')) " // + " DISABLE); "; OracleStatementParser parser = new OracleStatementParser(sql);
Java - Registered: 2023-01-16 07:39 - Last Modified: 2022-09-12 01:19 - 3.5K bytes - Viewed (0) -
examples/docs/fr-FR/button.md
| size | Taille du bouton. | string | medium / small / mini | — | | type | Type du bouton. | string | primary / success / warning / danger / info / text | — | | plain | Détermine si le bouton est plein. | boolean | — | false | | round | Détermine si le bouton est arrondi. | boolean | — | false | | circle | Détermine si le bouton est un cercle. | boolean | — | false |
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