From 30d6dabe8818cd8743b982ffdf19f000a4db19aa Mon Sep 17 00:00:00 2001
From: David Luevano Alvarado <55825613+luevano@users.noreply.github.com>
Date: Wed, 11 Mar 2020 11:02:01 -0700
Subject: Rearrange prints
---
ml_exp/krr.py | 9 +++++----
1 file changed, 5 insertions(+), 4 deletions(-)
diff --git a/ml_exp/krr.py b/ml_exp/krr.py
index cf2669623..2b9d32157 100644
--- a/ml_exp/krr.py
+++ b/ml_exp/krr.py
@@ -68,7 +68,7 @@ def krr(descriptors,
identifier = 'NOT SPECIFIED'
if not data_size == labels.shape[0]:
- raise ValueError('Energies size is different than descriptors size.')
+ raise ValueError('Labels size is different than descriptors size.')
if training_size >= data_size:
raise ValueError('Training size is greater or equal to the data size.')
@@ -78,6 +78,7 @@ def krr(descriptors,
use_tf = False
# If test_size is not set, it is set to a maximum size of 1500.
+ # Also, no overlapping with training data is achieved.
if not test_size:
test_size = data_size - training_size
if test_size > 1500:
@@ -88,6 +89,8 @@ def krr(descriptors,
printc(f'\tTraining size: {training_size}', 'CYAN')
printc(f'\tTest size: {test_size}', 'CYAN')
printc(f'\tSigma: {test_size}', 'CYAN')
+ printc(f'\tKernel: {laplauss}', 'CYAN')
+ printc(f'\tUse tf: {use_tf}', 'CYAN')
if use_tf:
if tf.config.experimental.list_physical_devices('GPU'):
@@ -148,12 +151,10 @@ def krr(descriptors,
mae = np.mean(np.abs(Y_pr - Y_te))
- if show_msgs:
- printc(f'\tMAE for {identifier}: {mae:.4f}', 'GREEN')
-
toc = time.perf_counter()
tictoc = toc - tic
if show_msgs:
+ printc(f'\tMAE for {identifier}: {mae:.4f}', 'GREEN')
printc(f'\t{identifier} ML took {tictoc:.4f} seconds.', 'GREEN')
return mae, tictoc
--
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