b9dd34e56eaf5a8bd755ad5eec15558a *DESCRIPTION
2634e48fe25f015785fd566c6cd44d22 *NAMESPACE
583ca348e1e70cd1001ac303da82964a *R/DecisionTree.R
bd5a6dc70ad904d6cf06e38152e04753 *R/KMeans.R
5751f5cfb9825747804f082b4719725f *R/KNN.R
6af8ab283d9df9e9d30bbd97703ffd56 *R/LinearRegression.R
f087993ef0996653727610d4220ff35b *R/LogisticRegression.R
ea64c3f32fd9b0f865d5091dddfe3c5d *R/PCA.R
80c9d43e64569cca75fb2b42041ed67c *R/RandomForest.R
8ffdd9e9828c21ed07ee8ac5d67581e4 *R/RcppExports.R
518a9a94208bc86393ed75cce42ba17a *R/RidgeRegression.R
f2fe7ff1c1000852f6975d19a346e856 *R/SoftmaxRegression.R
d66e7e8cf7907d0e7e30202fcdc6dbed *R/column_transformer.R
f5608ad5b7f75e0812be497e53aa43a1 *R/encoders.R
badba5f3d838784d0447b909639e27c7 *R/find_best_k.R
834f59427acc3b75ee5f8f869489c869 *R/init.R
84e6aed4fec49ed288a44773dca93aca *R/metrics.R
0da7630cc71f91b8238a5a776943ad51 *R/package.R
ec91d95e29a1c977480bd8d66df8c6fd *R/pipeline.R
b79d729c175211877f0ae467cdf7047e *R/preprocessing.R
cfd47cdff231c132704378b9ccf7090e *R/scalers.R
87d4e2098cfe5a494ac579b4ccd54672 *R/split.R
dcf4bf78b11fb88929f7882566841dd9 *R/step_utils.R
49674cf161eb30a3d1b24b744d4333d4 *R/utils_predict.R
26b871614cd433d4128f69377a47d5fc *R/wrapper.R
7f597fa763a72acc5415bb383bc893aa *R/zzz.R
4850ebd4690a15ea2e04848f92ed8a1a *inst/CITATION
0a0e0225a112a2a37ad49d74faaba0f0 *inst/dataset/cars.csv
6481ed154d5b8ff83d7c09007aaa6ed0 *inst/dataset/heart_disease_b.csv
17eb332f8a61636a46a4be545bf8865b *inst/dataset/stud_logis.csv
c009038804fbaa1797107c17a642d8cc *inst/dataset/students.csv
2309cc5f04782ed9bb6016d9f4e381cf *inst/dataset/titanic.csv
c676cfbc07d4640f4ecb764a102cad01 *inst/dataset/winequality.csv
0865e74413c78a359ce0a839801df827 *inst/docs/manual.pdf
07f9ce7b1bba6b5b9f303ad5cf9f7f3e *man/ColumnTransformer-class.Rd
197eb6cf6daa98179bc389c6f84c97ed *man/DecisionTree-class.Rd
f94dbeb879bcae5f13154feaa759b037 *man/KMeans-class.Rd
cda6293fbe52531d168a7a5d47d662ea *man/KNN-class.Rd
36ba99757d1c112fd94bcadf484ad40e *man/LabelEncoder-class.Rd
feda2256e5200bcf21201987031313e9 *man/LinearRegression-class.Rd
2670dc46ee5c7f1de31e88d08406b0d5 *man/LogisticRegression-class.Rd
53038b7229be3260d2222fdde1ae345e *man/MinMaxScaler-class.Rd
2028c17b646ca7ee5e9274a11598e280 *man/OneHotEncoder-class.Rd
e4a32ac1be786821379405cdc8d16610 *man/PCA-class.Rd
9353ce8aef5de88d655ea5d12b36ba37 *man/Pipeline-class.Rd
a401bb3ad78ebe95bbfbfecfb7aa563f *man/RandomForest-class.Rd
7db2d43dcbb7d6bb698ae3e20733e80f *man/RidgeRegression-class.Rd
2469fc562462f7539cf366aad417ecc9 *man/SoftmaxRegression-class.Rd
f11521a0a51ea67b48df4d5b4d35eb91 *man/StandardScaler-class.Rd
346ae87fdacd93e55b98ba0898024e5e *man/VectorForgeML-package.Rd
45f4ef4242c15a18cb2a5bf7e3f6457b *man/accuracy_score.Rd
1af021bf8f3f1c0855b67c9f5354ee17 *man/confusion_matrix.Rd
36625b6760ae9b0fec56ff6ffdb7fa7d *man/confusion_stats.Rd
08aabcb3de06183555d3ccea7897ac80 *man/drop_constant_columns.Rd
f16e3f5b7036005f489e57845cd45b50 *man/f1_score.Rd
e7e89bee382345338ee2a60335462bde *man/find_best_k.Rd
28aaa5fb79e3820f2964794a1c9e419e *man/fit_linear_model.Rd
aa94d477b52f739ff8c8e1a616583de9 *man/macro_f1.Rd
330ab0beb0afe47b3a093dda11736efb *man/macro_precision.Rd
c5993f56cada931fab93bd4e2f5e4e26 *man/macro_recall.Rd
422d8c91217408f9832936f1f0632c92 *man/mse.Rd
d5db0ace64e0d752d71e6474003f7ca1 *man/plot_confusion_matrix.Rd
dc32d715ded8d2638c9667b7aa1fd052 *man/precision_score.Rd
9c85759aebc421ccc4f44501b95047da *man/predict_linear_model.Rd
d8750dc546e4f6a74633e34abe717a7e *man/r2_score.Rd
c3953c78a38843ec023568e48980b6ac *man/recall_score.Rd
52b8f0f1841fc7057b193eec92205b52 *man/rmse.Rd
0ddf9e05f1c0682b33fcb14115a55ef1 *man/train_test_split.Rd
eaf9d33e2eb524b1a7921ab58c63d8d8 *src/DecisionTree.cpp
b016e5df58fa5fcfed07389ccb260fbd *src/FastMatrix.h
2d84f33567685774af1fef0e5eac8c0f *src/KMeans.cpp
556bfbac7d7282aecd971e1c5adaabdd *src/KNN.cpp
40a6eb5af636b363514e607bc936ba71 *src/LinearRegression.cpp
0ac41c129785b87f52877de1c4a5ebf7 *src/LogisticRegression.cpp
c89d6b95d18721894ab45341d0fbc7a6 *src/Makevars
c89d6b95d18721894ab45341d0fbc7a6 *src/Makevars.win
82c7cfffd6fba70f8e9fbcbeae8d32a6 *src/PCA.cpp
3f2abe2daa1aa0accfadcf2c125736e0 *src/RandomForest.cpp
8cfe5f736f0ac4eeeed315d7e3aa7bd8 *src/RcppExports.cpp
7b355383ec2ebbbf97165c0b5309f65e *src/RidgeRegression.cpp
e03ad2b5129bb6d49cabad828349d29a *src/SoftmaxRegression.cpp
89f0d5427c48a05828e05e5c1f33aecd *src/functions.cpp
13f451e4ba44b60e6453200cf9327097 *src/init.cpp
53e5445e7997213a04176aa6c5d014a8 *src/matrix_ops.cpp
c2ddbb4df3b2471480fcb152bc29ed9e *src/matrix_ops.h
