Fixed LBFGSFunctionOptimizer doc, fixed linting error

tensorflow · DirkToewe · Nov 8, 2018 · Nov 8, 2018 · Nov 9, 2018 · Nov 9, 2018
commit 5a5c72c84a29eb6da5f1d1e62c11651c1639befc
diff --git a/src/optimizers/lbfgs_function_optimizer.ts b/src/optimizers/lbfgs_function_optimizer.ts
@@ -245,9 +245,9 @@ export class LBFGSFunctionOptimizer {
 
   /** A function that returns the negative "initial" search direction. In
    *  other words this function returns the result matrix-vector `H₀•g`,
-   *  where `H₀` is the inverse of the initial inverse Hessian and `g` is
-   *  the current (gradient) vector. The length of the returned vector
-   *  stronly influences how far the `LineSearchMethod` looks.
+   *  where `H₀` is the initial inverse Hessian and `g` is the current
+   *  (gradient) vector. The length of the returned vector stronly
+   *  influences how far the `LineSearchMethod` looks.
    * 
    *  @param g The gradient vector for which the (initial) search direction
    *           is to be determined.

diff --git a/src/optimizers/lbfgs_function_optimizer_test.ts b/src/optimizers/lbfgs_function_optimizer_test.ts
@@ -140,8 +140,8 @@ describeWithFlags('rastrigin', ALL_ENVS, () => {
           expectArraysEqual( fMin.lessEqual(f).all(), scalar(true,'bool') );
         }
         catch(err) {
-          const iMax = f.flatten().argMin().dataSync()[0];
-          console.log('x_min:'); x.reshape([-1,l]).slice( [iMax,0], [1,l] ).print();
+          const i = f.flatten().argMin().dataSync()[0];
+          console.log('x_min:'); x.reshape([-1,l]).slice([i,0], [1,l]).print();
           console.log('f.min:'); f.min().print();
           console.log('fMin'); fMin.print();
           throw err;