1 files changed, 0 insertions, 139 deletions
diff --git a/ml/Config.cc b/ml/Config.cc
deleted file mode 100644
index c6a750995..000000000
--- a/ml/Config.cc
+++ /dev/null
@@ -1,139 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-
-#include "ml-private.h"
-
-/*
- * Global configuration instance to be shared between training and
- * prediction threads.
- */
-ml_config_t Cfg;
-
-template <typename T>
-static T clamp(const T& Value, const T& Min, const T& Max) {
-  return std::max(Min, std::min(Value, Max));
-}
-
-/*
- * Initialize global configuration variable.
- */
-void ml_config_load(ml_config_t *cfg) {
-    const char *config_section_ml = CONFIG_SECTION_ML;
-
-    bool enable_anomaly_detection = config_get_boolean(config_section_ml, "enabled", true);
-
-    /*
-     * Read values
-     */
-
-    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", 3 * 3600);
-
-    unsigned num_models_to_use = config_get_number(config_section_ml, "number of models per dimension", 18);
-    unsigned delete_models_older_than = config_get_number(config_section_ml, "delete models older than", 60 * 60 * 24 * 7);
-
-    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);
-    unsigned lag_n = config_get_number(config_section_ml, "num samples to lag", 5);
-
-    double random_sampling_ratio = config_get_float(config_section_ml, "random sampling ratio", 1.0 / 5.0 /* default lag_n */);
-    unsigned max_kmeans_iters = config_get_number(config_section_ml, "maximum number of k-means iterations", 1000);
-
-    double dimension_anomaly_rate_threshold = config_get_float(config_section_ml, "dimension anomaly score threshold", 0.99);
-
-    double host_anomaly_rate_threshold = config_get_float(config_section_ml, "host anomaly rate threshold", 1.0);
-    std::string anomaly_detection_grouping_method = config_get(config_section_ml, "anomaly detection grouping method", "average");
-    time_t anomaly_detection_query_duration = config_get_number(config_section_ml, "anomaly detection grouping duration", 5 * 60);
-
-    size_t num_training_threads = config_get_number(config_section_ml, "num training threads", 4);
-    size_t flush_models_batch_size = config_get_number(config_section_ml, "flush models batch size", 128);
-
-    size_t suppression_window = config_get_number(config_section_ml, "dimension anomaly rate suppression window", 900);
-    size_t suppression_threshold = config_get_number(config_section_ml, "dimension anomaly rate suppression threshold", suppression_window / 2);
-
-    bool enable_statistics_charts = config_get_boolean(config_section_ml, "enable statistics charts", false);
-
-    /*
-     * Clamp
-     */
-
-    max_train_samples = clamp<unsigned>(max_train_samples, 1 * 3600, 24 * 3600);
-    min_train_samples = clamp<unsigned>(min_train_samples, 1 * 900, 6 * 3600);
-    train_every = clamp<unsigned>(train_every, 1 * 3600, 6 * 3600);
-
-    num_models_to_use = clamp<unsigned>(num_models_to_use, 1, 7 * 24);
-    delete_models_older_than = clamp<unsigned>(delete_models_older_than, 60 * 60 * 24 * 1, 60 * 60 * 24 * 7);
-
-    diff_n = clamp(diff_n, 0u, 1u);
-    smooth_n = clamp(smooth_n, 0u, 5u);
-    lag_n = clamp(lag_n, 1u, 5u);
-
-    random_sampling_ratio = clamp(random_sampling_ratio, 0.2, 1.0);
-    max_kmeans_iters = clamp(max_kmeans_iters, 500u, 1000u);
-
-    dimension_anomaly_rate_threshold = clamp(dimension_anomaly_rate_threshold, 0.01, 5.00);
-
-    host_anomaly_rate_threshold = clamp(host_anomaly_rate_threshold, 0.1, 10.0);
-    anomaly_detection_query_duration = clamp<time_t>(anomaly_detection_query_duration, 60, 15 * 60);
-
-    num_training_threads = clamp<size_t>(num_training_threads, 1, 128);
-    flush_models_batch_size = clamp<size_t>(flush_models_batch_size, 8, 512);
-
-    suppression_window = clamp<size_t>(suppression_window, 1, max_train_samples);
-    suppression_threshold = clamp<size_t>(suppression_threshold, 1, suppression_window);
-
-     /*
-     * Validate
-     */
-
-    if (min_train_samples >= max_train_samples) {
-        netdata_log_error("invalid min/max train samples found (%u >= %u)", min_train_samples, max_train_samples);
-
-        min_train_samples = 1 * 3600;
-        max_train_samples = 6 * 3600;
-    }
-
-    /*
-     * Assign to config instance
-     */
-
-    cfg->enable_anomaly_detection = enable_anomaly_detection;
-
-    cfg->max_train_samples = max_train_samples;
-    cfg->min_train_samples = min_train_samples;
-    cfg->train_every = train_every;
-
-    cfg->num_models_to_use = num_models_to_use;
-    cfg->delete_models_older_than = delete_models_older_than;
-
-    cfg->diff_n = diff_n;
-    cfg->smooth_n = smooth_n;
-    cfg->lag_n = lag_n;
-
-    cfg->random_sampling_ratio = random_sampling_ratio;
-    cfg->max_kmeans_iters = max_kmeans_iters;
-
-    cfg->host_anomaly_rate_threshold = host_anomaly_rate_threshold;
-    cfg->anomaly_detection_grouping_method =
-        time_grouping_parse(anomaly_detection_grouping_method.c_str(), RRDR_GROUPING_AVERAGE);
-    cfg->anomaly_detection_query_duration = anomaly_detection_query_duration;
-    cfg->dimension_anomaly_score_threshold = dimension_anomaly_rate_threshold;
-
-    cfg->hosts_to_skip = config_get(config_section_ml, "hosts to skip from training", "!*");
-    cfg->sp_host_to_skip = simple_pattern_create(cfg->hosts_to_skip.c_str(), NULL, SIMPLE_PATTERN_EXACT, true);
-
-    // Always exclude anomaly_detection charts from training.
-    cfg->charts_to_skip = "anomaly_detection.* ";
-    cfg->charts_to_skip += config_get(config_section_ml, "charts to skip from training", "netdata.*");
-    cfg->sp_charts_to_skip = simple_pattern_create(cfg->charts_to_skip.c_str(), NULL, SIMPLE_PATTERN_EXACT, true);
-
-    cfg->stream_anomaly_detection_charts = config_get_boolean(config_section_ml, "stream anomaly detection charts", true);
-
-    cfg->num_training_threads = num_training_threads;
-    cfg->flush_models_batch_size = flush_models_batch_size;
-
-    cfg->suppression_window = suppression_window;
-    cfg->suppression_threshold = suppression_threshold;
-
-    cfg->enable_statistics_charts = enable_statistics_charts;
-}