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-rw-r--r--ml/Config.cc8
1 files changed, 4 insertions, 4 deletions
diff --git a/ml/Config.cc b/ml/Config.cc
index c5129c49..c00d2e8e 100644
--- a/ml/Config.cc
+++ b/ml/Config.cc
@@ -25,10 +25,10 @@ void ml_config_load(ml_config_t *cfg) {
* Read values
*/
- unsigned max_train_samples = config_get_number(config_section_ml, "maximum num samples to train", 4 * 3600);
+ unsigned max_train_samples = config_get_number(config_section_ml, "maximum num samples to train", 6 * 3600);
unsigned min_train_samples = config_get_number(config_section_ml, "minimum num samples to train", 1 * 900);
- unsigned train_every = config_get_number(config_section_ml, "train every", 1 * 3600);
- unsigned num_models_to_use = config_get_number(config_section_ml, "number of models per dimension", 2);
+ unsigned train_every = config_get_number(config_section_ml, "train every", 3 * 3600);
+ unsigned num_models_to_use = config_get_number(config_section_ml, "number of models per dimension", 9);
unsigned diff_n = config_get_number(config_section_ml, "num samples to diff", 1);
unsigned smooth_n = config_get_number(config_section_ml, "num samples to smooth", 3);
@@ -86,7 +86,7 @@ void ml_config_load(ml_config_t *cfg) {
error("invalid min/max train samples found (%u >= %u)", min_train_samples, max_train_samples);
min_train_samples = 1 * 3600;
- max_train_samples = 4 * 3600;
+ max_train_samples = 6 * 3600;
}
/*