add ml-fcnnls

README.md

@@ -54,6 +54,7 @@ It will be available as the global `ML` variable. The package is in UMD format.
 ### Optimization
 
 - Levenberg-Marquardt: [`ML.levenbergMarquardt`](https://github.com/mljs/levenberg-marquardt)
+- Fast Combinatorial Non-negative Least Squares: [`ML.FCNNLS`](https://github.com/mljs/fcnnls)
 
 ### Math
 

package.json

@@ -62,6 +62,7 @@
     "ml-cross-validation": "^1.2.0",
     "ml-distance": "^3.0.0",
     "ml-distance-matrix": "^2.0.0",
+    "ml-fcnnls": "^1.0.0",
     "ml-fnn": "^5.0.0",
     "ml-hash-table": "^1.0.0",
     "ml-hclust": "^3.0.0",

src/index.js

@@ -41,6 +41,8 @@ export { RandomForestRegression };
 
 // Optimization
 export { default as levenbergMarquardt } from 'ml-levenberg-marquardt';
+import * as FCNNLS from 'ml-fcnnls';
+export { FCNNLS };
 
 // Math
 import * as MatrixLib from 'ml-matrix';