jacobian

commit ff548d86aade4b7003e28ebfda13e7b24c9bab5a
parent 6eb4a187ae222308c607f40972ba7a8587b61638
Author: David Freifeld <freifeld.david@gmail.com>
Date:   Fri, 10 Jul 2020 22:45:56 -0700

Got sweeps working

Diffstat:
M
scripts/example.py
 | 
5
++++-
M
scripts/sweep.yaml
 | 
20
++++++++++++++------

2 files changed, 18 insertions(+), 7 deletions(-)
diff --git a/scripts/example.py b/scripts/example.py
@@ -1,4 +1,7 @@
-import mrbpnn
+import importlib.util
+spec = importlib.util.spec_from_file_location("mrbpnn", "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/mrbpnn/mrbpnn.cpython-37m-darwin.so")
+mrbpnn = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(mrbpnn)
 import numpy as np
 import matplotlib.pyplot as plt
 import numpy
diff --git a/scripts/sweep.yaml b/scripts/sweep.yaml
@@ -1,8 +1,8 @@
 program: example.py
 method: bayes
 metric:
-  name: val_cost
-  goal: minimize
+  name: val_accuracy
+  goal: maximize
 parameters:
   epochs:
     distribution: int_uniform
@@ -10,7 +10,7 @@ parameters:
     max: 100
   batch_size:
     distribution: int_uniform
-p    min: 5
+    min: 5
     max: 200
   hidden_layers:
     distribution: int_uniform
@@ -18,8 +18,8 @@ p    min: 5
     max: 6
   bias_lr:
     distribution: uniform
-    min: 0.0015
-    max: 0.06
+    min: 0.0001
+    max: 0.5
   neurons:
     distribution: int_uniform
     min: 2
@@ -30,7 +30,15 @@ p    min: 5
       - lecun_tanh
       - relu
       - sigmoid
+      - linear
+      - softplus
+      - resig
+      - cloglog
   learning_rate:
     distribution: uniform
+    min: 0.0001
+    max: 1
+  l:
+    distribution: uniform
     min: 0.001
-    max: 0.5
+    max: 5