| @@ -1,15 +1,21 @@ |
| 1 | | −1.5.0.0 (March 2023; was originally 1.4.2.1) |
| 1 | +1.5.0.0 (March 2023; was previously to be 1.4.2.1) |
| 2 | 2 | --- |
| 3 | 3 | *************************************************************************** |
| 4 | 4 | * chuck-1.5.0.0 (chai) |
| 5 | 5 | *************************************************************************** |
| 6 | 6 | * significant addition: ChAI (Chuck + AI) |
| 7 | | −* significant update: WebChucK (chuck on browsers) |
| 7 | +* significant update: WebChucK (ChucK in web browser) + WebChucK IDE |
| 8 | 8 | * also: new features, new bug fixes, and new bugs! |
| 9 | 9 | *************************************************************************** |
| 10 | 10 | --- |
| 11 | 11 | (NOTE) WebChucK (ChucK on browsers) [beta] was released during the |
| 12 | | −development of this version. https://chuck.stanford.edu/webchuck/ |
| 12 | +development of this version. |
| 13 | + |
| 14 | +WebChucK IDE (program chuck on the web): |
| 15 | +https://chuck.stanford.edu/ide/ |
| 16 | + |
| 17 | +WebChucK landing page (including using WebChucK in your web projects) |
| 18 | +https://chuck.stanford.edu/webchuck/ |
| 13 | 19 | --- |
| 14 | 20 | (NOTE) ChAI (ChucK + AI), first appeared in beta as part of chuck-1.4.2.0; |
| 15 | 21 | ChAI was used in the course Music 356 / CS 470 "Music and AI" [*] at |
| @@ -17,7 +23,10 @@ Stanford University, taught by Ge Wang and Yikai Li (TA); Many thanks to · 1 unmodified line |
| 17 | 23 | the immensely creative students of "Music and AI". The v1.0 version of the |
| 18 | 24 | ChAI API and modules is hereby released, with new additions on the way. |
| 19 | 25 | |
| 20 | | −[*] "Music and AI" (Winter 2023 Stanford University) |
| 26 | +ChAI landing page: |
| 27 | +https://chuck.stanford.edu/chai/ |
| 28 | + |
| 29 | +"Music and AI" (Winter 2023 Stanford University) -- taught with ChAI |
| 21 | 30 | https://ccrma.stanford.edu/courses/356-winter-2023/ |
| 22 | 31 | --- |
| 23 | 32 | (HISTORICAL NOTE for ChAI) |
| @@ -126,7 +135,8 @@ Music Conference/. https://mcd.stanford.edu/publish/files/2007-icmc-uana.pdf · 102 unmodified lines |
| 126 | 135 | void load( string filename ); |
| 127 | 136 | Load the Wekinator from a file. |
| 128 | 137 | int modelType( int model_type ); |
| 129 | | − Set the model type of the Wekinator. Options: AI.Regression: AI.MLP, AI.LR, AI.Classification: AI.KNN, AI.SVM, AI.DT |
| 138 | + Set the model type of the Wekinator. Options: AI.Regression: AI.MLP, AI.LR, |
| 139 | + AI.Classification: AI.KNN, AI.SVM, AI.DT |
| 130 | 140 | int modelType(); |
| 131 | 141 | Get the model type id of the Wekinator. |
| 132 | 142 | string modelTypeName(); |
| @@ -354,6 +364,7 @@ Music Conference/. https://mcd.stanford.edu/publish/files/2007-icmc-uana.pdf · 221 unmodified lines |
| 354 | 364 | corresponding labels. |
| 355 | 365 | void weigh( float[] weights ); |
| 356 | 366 | Set the weights for each dimension in the data. |
| 367 | +- (renamed) unit analyzer pilF is now UnFlip; pilF deprecated |
| 357 | 368 | - (added) example: ai/knn/knn-search.ck |
| 358 | 369 | - (added) example: ai/knn/knn2-classify.ck |
| 359 | 370 | - (added) example: ai/knn/knn2-search.ck |