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-rw-r--r--src/main.c33
-rw-r--r--src/parse.c353
-rw-r--r--src/parse.h27
-rw-r--r--src/util.c140
-rw-r--r--src/util.h7
5 files changed, 472 insertions, 88 deletions
diff --git a/src/main.c b/src/main.c
index e779e2d..7918706 100644
--- a/src/main.c
+++ b/src/main.c
@@ -79,6 +79,7 @@ Layer * load_network(struct Configs cfg)
return network;
}
+
int main(int argc, char *argv[]) {
char default_config_path[512], *env_config_path;
struct Configs ml_configs = {
@@ -113,36 +114,44 @@ int main(int argc, char *argv[]) {
argv += optind;
Layer *network = load_network(ml_configs);
-
- Array X, y;
+ Array in, out;
+ double *X = NULL, *y = NULL;
+ size_t X_shape[2], y_shape[2];
if (!strcmp("train", argv[0]) || !strcmp("retrain", argv[0])) {
- file_read(argv[1], &X, &y, ml_configs, true);
+ file_read(argv[1], &in, &out, ml_configs, true);
+ X = data_preprocess(X_shape, in, ml_configs, true, false);
+ y = data_preprocess(y_shape, out, ml_configs, false, false);
if (!strcmp("train", argv[0])) {
- nn_network_init_weights(network, ml_configs.network_size, X.shape[1], true);
+ nn_network_init_weights(network, ml_configs.network_size, X_shape[1], true);
} else if (!strcmp("retrain", argv[0])) {
- nn_network_init_weights(network, ml_configs.network_size, X.shape[1], false);
+ nn_network_init_weights(network, ml_configs.network_size, X_shape[1], false);
nn_network_read_weights(ml_configs.weights_filepath, network, ml_configs.network_size);
}
- nn_network_train(network, ml_configs, X.data, X.shape, y.data, y.shape);
+ nn_network_train(network, ml_configs, X, X_shape, y, y_shape);
nn_network_write_weights(ml_configs.weights_filepath, network, ml_configs.network_size);
fprintf(stderr, "weights saved on '%s'\n", ml_configs.weights_filepath);
} else if (!strcmp("predict", argv[0])) {
- file_read(argv[1], &X, &y, ml_configs, false);
- nn_network_init_weights(network, ml_configs.network_size, X.shape[1], false);
+ file_read(argv[1], &in, &out, ml_configs, false);
+ X = data_preprocess(X_shape, in, ml_configs, true, false);
+ y = data_preprocess(y_shape, out, ml_configs, false, true);
+ nn_network_init_weights(network, ml_configs.network_size, X_shape[1], false);
nn_network_read_weights(ml_configs.weights_filepath, network, ml_configs.network_size);
- nn_network_predict(y.data, y.shape, X.data, X.shape, network, ml_configs.network_size);
+ nn_network_predict(y, y_shape, X, X_shape, network, ml_configs.network_size);
// If neither output and file_format defined use input to define the output format
if (!ml_configs.file_format && !ml_configs.out_filepath) {
ml_configs.file_format = file_format_infer(ml_configs.in_filepath);
}
- file_write(X, y, ml_configs);
+ data_postprocess(&out, y, y_shape, ml_configs, false);
+ file_write(in, out, ml_configs);
} else usage(1);
nn_network_free_weights(network, ml_configs.network_size);
free(network);
- free(X.data);
- free(y.data);
+ array_free(&in);
+ array_free(&out);
+ free(X);
+ free(y);
util_free_config(&ml_configs);
return 0;
}
diff --git a/src/parse.c b/src/parse.c
index 0533a13..c3fe2a6 100644
--- a/src/parse.c
+++ b/src/parse.c
@@ -29,8 +29,7 @@
static void json_read(
FILE *fp,
Array *input, Array *out,
- char *in_keys[], size_t in_keys_size,
- char *out_keys[], size_t out_keys_size,
+ struct Configs cfgs,
bool read_output
);
@@ -47,11 +46,7 @@ static void csv_read(
static void json_write(
FILE *fp,
Array input, Array out,
- char *in_keys[], size_t in_keys_size,
- char *out_keys[], size_t out_keys_size,
- bool write_input,
- int decimal_precision
- );
+ struct Configs cfgs);
static void csv_write(
FILE *fp,
@@ -73,7 +68,6 @@ static void csv_readline_values(
static void csv_keys2cols(size_t cols[], char *keys[], size_t keys_size);
-
void file_read(
char *filepath,
Array *input, Array *out,
@@ -82,10 +76,6 @@ void file_read(
{
FILE *fp;
- char **in_keys = ml_config.input_keys;
- char **out_keys = ml_config.label_keys;
- size_t n_in_keys = ml_config.n_input_keys;
- size_t n_out_keys = ml_config.n_label_keys;
char *file_format = ml_config.file_format;
if (filepath != NULL && strcmp(filepath, "-")) {
@@ -102,9 +92,11 @@ void file_read(
file_format = file_format_infer(filepath);
}
+ /*
if (!strcmp(file_format, "csv")) csv_read(fp, input, out, in_keys, n_in_keys, out_keys, n_out_keys, read_output, false, ',');
else if (!strcmp(file_format, "tsv")) csv_read(fp, input, out, in_keys, n_in_keys, out_keys, n_out_keys, read_output, false, '\t');
- else if (!strcmp(file_format, "json")) json_read(fp, input, out, in_keys, n_in_keys, out_keys, n_out_keys, read_output);
+ */
+ if (!strcmp(file_format, "json")) json_read(fp, input, out, ml_config, read_output);
else {
die("file_read() Error: unable to parse %s files", file_format);
}
@@ -117,14 +109,7 @@ void file_write(Array input, Array out, struct Configs ml_config)
FILE *fp;
char *filepath = ml_config.out_filepath;
- char **in_keys = ml_config.input_keys;
- char **out_keys = ml_config.label_keys;
- size_t n_in_keys = ml_config.n_input_keys;
- size_t n_out_keys = ml_config.n_label_keys;
- bool write_input = !ml_config.only_out;
char *file_format = ml_config.file_format;
- char decimal_precision = ml_config.decimal_precision;
-
if (filepath != NULL && strcmp(filepath, "-")) {
fp = fopen(filepath, "w");
@@ -138,20 +123,165 @@ void file_write(Array input, Array out, struct Configs ml_config)
if (fp == NULL) die("file_write() Error:");
- if (!strcmp(file_format, "json")) json_write(fp, input, out, in_keys, n_in_keys, out_keys, n_out_keys, write_input, decimal_precision);
+ if (!strcmp(file_format, "json")) json_write(fp, input, out, ml_config);
+ /*
else if (!strcmp(file_format, "csv")) csv_write(fp, input, out, write_input, ',', decimal_precision);
else if (!strcmp(file_format, "tsv")) csv_write(fp, input, out, write_input, '\t', decimal_precision);
+ */
else {
die("file_write() Error: unable to write %s files", file_format);
}
fclose(fp);
}
+void data_postprocess(
+ Array *out,
+ double *data, size_t data_shape[2],
+ struct Configs cfgs,
+ bool is_input)
+{
+ char **keys = (is_input) ? cfgs.input_keys : cfgs.label_keys;
+ size_t n_keys = (is_input) ? cfgs.n_input_keys : cfgs.n_label_keys;
+
+ char **categorical_keys = cfgs.categorical_keys;
+ size_t n_categorical_keys = cfgs.n_categorical_keys;
+
+ char ***categorical_values = cfgs.categorical_values;
+ size_t *n_categorical_values = cfgs.n_categorical_values;
+
+ size_t i, j, data_j;
+ for (data_j = j = 0; j < n_keys; j++) {
+ int k;
+ switch (out->type[j]) {
+ case ARRAY_NUMERICAL:
+ for (i = 0; i < data_shape[0]; i++) {
+ size_t data_index = i * data_shape[1] + data_j;
+ size_t index = i * out->shape[1] + j;
+ out->data[index].numeric = data[data_index];
+ }
+ data_j++;
+ break;
+ case ARRAY_ONEHOT:
+ k = util_get_key_index(keys[j], categorical_keys, n_categorical_keys);
+ if (k == -1) {
+ die("data_postprocess() Error: field '%s' is not registered as categorical",
+ keys[j]);
+ }
+ for (i = 0; i < data_shape[0]; i++) {
+ size_t index = i * out->shape[1] + j;
+ size_t data_index = i * data_shape[1] + data_j;
+ int onehot_i = util_argmax(data + data_index, n_categorical_values[k]);
+ out->data[index].categorical = e_strdup(categorical_values[k][onehot_i]);
+ }
+ data_j += n_categorical_values[k];
+ break;
+ default:
+ die("data_postprocess() Error: unexpected type received on '%s' field", keys[j]);
+ }
+ }
+}
+
+double * data_preprocess(
+ size_t out_shape[2],
+ Array data,
+ struct Configs cfgs,
+ bool is_input,
+ bool only_allocate)
+{
+ double *out;
+
+ char **keys = (is_input) ? cfgs.input_keys : cfgs.label_keys;
+ size_t n_keys = (is_input) ? cfgs.n_input_keys : cfgs.n_label_keys;
+
+ char **categorical_keys = cfgs.categorical_keys;
+ size_t n_categorical_keys = cfgs.n_categorical_keys;
+
+ char ***categorical_values = cfgs.categorical_values;
+ size_t *n_categorical_values = cfgs.n_categorical_values;
+
+ size_t i, j, out_j;
+
+ out_shape[0] = data.shape[0];
+ out_shape[1] = 0;
+ for (i = 0; i < n_keys; i++) {
+ int n;
+ switch (data.type[i]) {
+ case ARRAY_NUMERICAL:
+ out_shape[1]++;
+ break;
+ case ARRAY_ONEHOT:
+ n = util_get_key_index(keys[i], categorical_keys, n_categorical_keys);
+ if (n == -1) die("data_preprocess() Error: field '%s' is not marked as categorical", keys[i]);
+ out_shape[1] += n_categorical_values[n];
+ break;
+ default:
+ die("data_preprocess() Error: field '%s' has an unknown type", keys[i]);
+ break;
+ }
+ }
+
+ out = ecalloc(out_shape[0] * out_shape[1], sizeof(double));
+ if (only_allocate) return out;
+
+ for (out_j = j = 0; j < data.shape[1]; j++) {
+ switch (data.type[j]) {
+ int k;
+ case ARRAY_NUMERICAL:
+ for (i = 0; i < out_shape[0]; i++) {
+ size_t index = i * data.shape[1] + j;
+ size_t out_index = i * out_shape[1] + out_j;
+ out[out_index] = data.data[index].numeric;
+ }
+ out_j++;
+ break;
+ case ARRAY_ONEHOT:
+ k = util_get_key_index(keys[j], categorical_keys, n_categorical_keys);
+ for (i = 0; i < out_shape[0]; i++) {
+ int onehot_i;
+ size_t index = i * data.shape[1] + j;
+ onehot_i = util_get_key_index(data.data[index].categorical,
+ categorical_values[k],
+ n_categorical_values[k]);
+ if (onehot_i == -1) {
+ die("data_preprocess() Error: unexpected '%s' value found",
+ data.data[index].categorical);
+ }
+ size_t out_index = i * out_shape[1] + out_j + onehot_i;
+ out[out_index] = 1.0;
+ }
+ out_j += n_categorical_values[k];
+ break;
+ default:
+ die("data_preprocess() Error: field '%s' has an unknown type", keys[j]);
+ }
+ }
+
+ return out;
+}
+
+void array_free(Array *x) {
+ size_t i, j, index;
+ for (j = 1; j < x->shape[1]; j++) {
+ switch (x->type[j]) {
+ case ARRAY_ORDINAL:
+ case ARRAY_ONEHOT:
+ for (i = 0; i < x->shape[0]; i++) {
+ index = x->shape[1] * i + j;
+ free(x->data[index].categorical);
+ }
+ break;
+ default:
+ break;
+ }
+ }
+ free(x->type);
+ free(x->data);
+}
+
void json_read(
FILE *fp,
Array *input, Array *out,
- char *in_keys[], size_t n_input_keys,
- char *out_keys[], size_t n_out_keys,
+ struct Configs cfgs,
bool read_output)
{
static char fp_buffer[MAX_FILE_SIZE];
@@ -159,8 +289,15 @@ void json_read(
json_object *json_obj, *item, *value;
json_type obj_type;
+ char **in_keys = cfgs.input_keys;
+ char **out_keys = cfgs.label_keys;
+ char **onehot_keys = cfgs.onehot_keys;
+ size_t n_input_keys = cfgs.n_input_keys;
+ size_t n_out_keys = cfgs.n_label_keys;
+ size_t n_onehot_keys = cfgs.n_onehot_keys;
- if (fp == NULL) goto json_read_error;
+
+ if (fp == NULL) die("json_read() Error:");
i = 0;
do {
@@ -178,13 +315,28 @@ void json_read(
input->shape[0] = (size_t)json_obj_length;
input->shape[1] = n_input_keys;
- input->data = calloc(input->shape[0] * input->shape[1], sizeof(input->data[0]));
+ input->type = ecalloc(input->shape[1], sizeof(enum ArrayType));
+ input->data = ecalloc(input->shape[0] * input->shape[1], sizeof(input->data[0]));
out->shape[0] = (size_t)json_obj_length;
out->shape[1] = n_out_keys;
- out->data = calloc(out->shape[0] * out->shape[1], sizeof(out->data[0]));
+ out->type = ecalloc(out->shape[1], sizeof(enum ArrayType));
+ out->data = ecalloc(out->shape[0] * out->shape[1], sizeof(out->data[0]));
+
+ for (i = 0; i < n_onehot_keys; i++) {
+ for (j = 0; j < n_input_keys; j++) {
+ if (!strcmp(onehot_keys[i], in_keys[j])) {
+ input->type[j] = ARRAY_ONEHOT;
+ }
+ }
+
+ for (j = 0; j < n_out_keys; j++) {
+ if (!strcmp(onehot_keys[i], out_keys[j])) {
+ out->type[j] = ARRAY_ONEHOT;
+ }
+ }
+ }
- if (!input->data || !out->data) goto json_read_error;
for (i = 0; i < json_object_array_length(json_obj); i++) {
item = json_object_array_get_idx(json_obj, i);
@@ -201,15 +353,30 @@ void json_read(
for (j = 0; j < n_input_keys; j++) {
value = json_object_object_get(item, in_keys[j]);
obj_type = json_object_get_type(value);
- switch (obj_type) {
- case json_type_double:
- case json_type_int:
- index = n_input_keys * i + j;
- input->data[index] = json_object_get_double(value);
+ index = n_input_keys * i + j;
+ switch (input->type[j]) {
+ case ARRAY_NUMERICAL:
+ switch (obj_type) {
+ case json_type_int:
+ case json_type_double:
+ input->data[index].numeric = json_object_get_double(value);
+ break;
+ default:
+ die("json_read() Error: unexpected JSON data received, expecting a number");
+ }
break;
- default:
- die("json_read() Error: unexpected JSON data received, expecting a number");
+ case ARRAY_ONEHOT:
+ switch (obj_type) {
+ case json_type_int:
+ case json_type_string:
+ input->data[index].categorical = e_strdup(json_object_get_string(value));
+ break;
+ default:
+ die("json_read() Error: unexpected JSON data received, expecting a string or integer");
+ }
break;
+ default:
+ die("json_read() Error: preprocess field type '%s' is not implemented", in_keys[j]);
}
}
@@ -218,28 +385,40 @@ void json_read(
for (j = 0; j < n_out_keys; j++) {
value = json_object_object_get(item, out_keys[j]);
obj_type = json_object_get_type(value);
- switch (obj_type) {
- case json_type_double:
- case json_type_int:
- index = n_out_keys * i + j;
- out->data[index] = json_object_get_double(value);
+ index = n_out_keys * i + j;
+ switch (out->type[j]) {
+ case ARRAY_NUMERICAL:
+ switch (obj_type) {
+ case json_type_int:
+ case json_type_double:
+ out->data[index].numeric = json_object_get_double(value);
+ break;
+ default:
+ die("json_read() Error: unexpected JSON data received, expecting a number");
+ }
break;
- default:
- die("json_read() Error: unexpected JSON data received, expecting a number");
+ case ARRAY_ONEHOT:
+ switch (obj_type) {
+ case json_type_int:
+ case json_type_string:
+ out->data[index].categorical = e_strdup(json_object_get_string(value));
+ break;
+ default:
+ die("json_read() Error: unexpected JSON data received, expecting string or integer");
+ }
break;
+ default:
+ die("json_read() Error: preprocess field type '%s' is not implemented", out_keys[j]);
}
}
}
json_object_put(json_obj);
return;
-
-json_read_error:
- perror("json_read() Error");
- exit(1);
}
+/*
void csv_read(
FILE *fp,
Array *input, Array *out,
@@ -304,51 +483,78 @@ void csv_read(
free(out_cols);
return;
}
+*/
void json_write(
FILE *fp,
Array input, Array out,
- char *in_keys[], size_t in_keys_size,
- char *out_keys[], size_t out_keys_size,
- bool write_input,
- int decimal_precision)
+ struct Configs cfgs)
{
- fprintf(fp, "[\n");
-
- if (in_keys_size != input.shape[1] && write_input) {
- die("json_write() Error: there are more keys (%zu) than input columns (%zu)",
- in_keys_size, input.shape[1]);
+ char **in_keys = cfgs.input_keys;
+ char **out_keys = cfgs.label_keys;
+ size_t n_in_keys = cfgs.n_input_keys;
+ size_t n_out_keys = cfgs.n_label_keys;
+ bool write_input = !cfgs.only_out;
+ int decimal_precision = cfgs.decimal_precision;
+
+ json_object *root = json_object_new_array();
+ if (!root) {
+ die("json_write() Error: Unable to create json_data");
}
- if (out_keys_size != out.shape[1]) {
- die("json_write() Error: there are more keys (%zu) than output columns (%zu)",
- out_keys_size, out.shape[1]);
- }
+ if (n_in_keys != input.shape[1])
+ die("json_write() Error: input keys and data columns have different sizes");
+ if (n_out_keys != out.shape[1])
+ die("json_write() Error: output keys and data columns have different sizes");
- for (size_t i = 0; i < input.shape[0]; i++) {
- fprintf(fp, " {\n");
+ size_t i, j;
+ for (i = 0; i < input.shape[0]; i++) {
+ json_object *obj = json_object_new_object();
if (write_input) {
- for (size_t j = 0; j < input.shape[1]; j++) {
- size_t index = input.shape[1] * i + j;
- fprintf(fp, " \"%s\": %g,\n", in_keys[j], input.data[index]);
+ for (j = 0; j < input.shape[1]; j++) {
+ char buffer[128];
+ size_t index = i * input.shape[1] + j;
+ switch (input.type[j]) {
+ case ARRAY_NUMERICAL:
+ sprintf(buffer, "%g", input.data[index].numeric);
+ json_object_object_add(obj, in_keys[j], json_object_new_double_s(input.data[index].numeric, buffer));
+ break;
+ case ARRAY_ONEHOT:
+ json_object_object_add(obj, in_keys[j], json_object_new_string(input.data[index].categorical));
+ break;
+ default:
+ die("json_write(): Unexpected value received");
+ }
}
}
- for (size_t j = 0; j < out.shape[1]; j++) {
- size_t index = out.shape[1] * i + j;
- fprintf(fp, " \"%s\": %.*g", out_keys[j], decimal_precision, out.data[index]);
- if (j == out.shape[1] - 1) fprintf(fp, "\n");
- else fprintf(fp, ",\n");
+ for (j = 0; j < out.shape[1]; j++) {
+ size_t index = i * out.shape[1] + j;
+ char buffer[32];
+ switch (out.type[j]) {
+ case ARRAY_NUMERICAL:
+ sprintf(buffer, "%.*g", decimal_precision, out.data[index].numeric);
+ json_object_object_add(obj, out_keys[j], json_object_new_double_s(out.data[index].numeric, buffer));
+ break;
+ case ARRAY_ONEHOT:
+ json_object_object_add(obj, out_keys[j], json_object_new_string(out.data[index].categorical));
+ break;
+ default:
+ die("json_write(): Unexpected value received");
+ }
}
-
- if (i == input.shape[0] - 1) fprintf(fp, " }\n");
- else fprintf(fp, " },\n");
+ json_object_array_add(root, obj);
+ }
+ int ret = fprintf(fp, "%s", json_object_to_json_string_ext(root, JSON_C_TO_STRING_PRETTY | JSON_C_TO_STRING_SPACED));
+ if (ret == -1) {
+ die("json_write() Error: unable to write json data");
}
- fprintf(fp, "]\n");
+ json_object_put(root);
}
+/*
void csv_write(
FILE *fp,
Array input, Array out,
@@ -373,6 +579,7 @@ void csv_write(
fprintf(fp, "\n");
}
}
+*/
void csv_columns_select(
double *dst_row, double *src_row,
@@ -457,7 +664,6 @@ char * file_format_infer(char *filename)
return file_format;
}
-
#ifdef PARSE_TEST
#include <assert.h>
#include <string.h>
@@ -546,4 +752,5 @@ int main(int argc, char *argv[]) {
return 0;
}
+
#endif
diff --git a/src/parse.h b/src/parse.h
index 07f740b..3f49c15 100644
--- a/src/parse.h
+++ b/src/parse.h
@@ -6,13 +6,38 @@
#include "util.h"
+enum ArrayType {
+ ARRAY_NUMERICAL,
+ ARRAY_ORDINAL,
+ ARRAY_ONEHOT
+};
+
+union ArrayValue {
+ double numeric;
+ char *categorical;
+};
+
typedef struct Array {
- double *data;
+ enum ArrayType *type;
+ union ArrayValue *data;
size_t shape[2];
} Array;
+void array_free(Array *x);
void file_read(char *filepath, Array *input, Array *out, struct Configs configs, bool read_output);
void file_write(Array input, Array out, struct Configs ml_configs);
char * file_format_infer(char *filename);
+double * data_preprocess(
+ size_t out_shape[2],
+ Array data,
+ struct Configs configs,
+ bool is_input,
+ bool only_allocate);
+
+void data_postprocess(
+ Array *out,
+ double *data, size_t data_shape[2],
+ struct Configs cfgs,
+ bool is_input);
#endif
diff --git a/src/util.c b/src/util.c
index 81950f1..ad14632 100644
--- a/src/util.c
+++ b/src/util.c
@@ -25,9 +25,13 @@
#include "util.h"
#define BUFFER_SIZE 1024
+
+static int cmpstringp(const void *, const void *);
static char ** config_read_values(size_t *n_out_keys, char *first_value, char **strtok_ptr);
static void load_net_cfgs(struct Configs *cfg, char *key, char *value, char *strtok_ptr, char *filepath);
static void load_lyr_cfgs(struct Configs *cfg, char *key, char *value, char *filepath);
+static void load_categorical_cfgs(struct Configs *cfg, char *key, char *value, char *strtok_ptr);
+static void load_preprocess_cfgs(struct Configs *cfg, char *key, char *value, char *strtok_ptr, char *filepath);
static void add_lyr(struct Configs *cfg);
void die(const char *fmt, ...)
@@ -207,11 +211,34 @@ void util_free_config(struct Configs *ml)
free(ml->activations[i]);
free(ml->activations);
}
+
+ if (ml->onehot_keys != NULL) {
+ for (size_t i = 0; i < ml->n_onehot_keys; i++)
+ free(ml->onehot_keys[i]);
+ free(ml->onehot_keys);
+ }
+
+ if (ml->categorical_keys != NULL) {
+ for (size_t i = 0; i < ml->n_categorical_keys; i++)
+ free(ml->categorical_keys[i]);
+ free(ml->categorical_keys);
+ }
+
+ if (ml->categorical_values != NULL) {
+ for (size_t i = 0; i < ml->n_categorical_keys; i++) {
+ for (size_t j = 0; j < ml->n_categorical_values[i]; j++) {
+ free(ml->categorical_values[i][j]);
+ }
+ free(ml->categorical_values[i]);
+ }
+ free(ml->n_categorical_values);
+ free(ml->categorical_values);
+ }
}
void util_load_config(struct Configs *ml, char *filepath)
{
- enum Section {NET, LAYER, OUT_LAYER};
+ enum Section {NET, PREPROCESSING, CATEGORICAL, LAYER, OUT_LAYER};
enum Section section;
int line_number = 0;
char line_buffer[BUFFER_SIZE], line_buffer_original[BUFFER_SIZE];
@@ -234,6 +261,10 @@ void util_load_config(struct Configs *ml, char *filepath)
ml->network_size++;
add_lyr(ml);
ml->neurons[ml->network_size-1] = ml->n_label_keys;
+ } else if (!strcmp("preprocessing", token_buffer)) {
+ section = PREPROCESSING;
+ } else if (!strcmp("categorical_fields", token_buffer)) {
+ section = CATEGORICAL;
} else {
die("util_load_config() Error: Unknown section '%s' on %s",
line_buffer, filepath);
@@ -277,6 +308,12 @@ void util_load_config(struct Configs *ml, char *filepath)
case NET:
load_net_cfgs(ml, key, value, ptr_buffer, filepath);
break;
+ case PREPROCESSING:
+ load_preprocess_cfgs(ml, key, value, ptr_buffer, filepath);
+ break;
+ case CATEGORICAL:
+ load_categorical_cfgs(ml, key, value, ptr_buffer);
+ break;
case LAYER:
load_lyr_cfgs(ml, key, value, filepath);
break;
@@ -292,6 +329,48 @@ void util_load_config(struct Configs *ml, char *filepath)
break;
}
}
+
+ /* Checks categorical_keys in label_keys or input_keys or onehot_keys*/
+ size_t i,j,k;
+ for (i = 0; i < ml->n_categorical_keys; i++) {
+ int ret;
+ ret = util_get_key_index(ml->categorical_keys[i], ml->input_keys, ml->n_input_keys);
+ if (ret >= 0) continue;
+ ret = util_get_key_index(ml->categorical_keys[i], ml->label_keys, ml->n_label_keys);
+ if (ret == -1) {
+ die("util_load_config() Error: field '%s' does not exist", ml->categorical_keys[i]);
+ }
+
+ ret = util_get_key_index(ml->categorical_keys[i], ml->onehot_keys, ml->n_onehot_keys);
+ if (ret >= 0) continue;
+ die("util_load_config() Error: field '%s' must be encoded", ml->categorical_keys[i]);
+ }
+
+ /* Check onehot_keys in categorical_keys */
+ for (i = 0; i < ml->n_onehot_keys; i++) {
+ int ret = util_get_key_index(ml->onehot_keys[i],
+ ml->categorical_keys,
+ ml->n_categorical_keys);
+ if (ret >= 0) continue;
+ die("util_load_config() Error: one hot field '%s' is not defined as categorical", ml->onehot_keys[i]);
+ }
+
+ /* Determine out layer neurons */
+ size_t *out_layer_neurons = ml->neurons + ml->network_size - 1;
+ *out_layer_neurons = 0;
+ for (i = 0; i < ml->n_label_keys; i++) {
+ int ret = 1;
+
+ for (j = 0; ret && j < ml->n_categorical_keys; j++)
+ ret = strcmp(ml->categorical_keys[j], ml->label_keys[i]);
+
+ for (k = 0; ret && k < ml->n_onehot_keys; k++)
+ ret = strcmp(ml->onehot_keys[k], ml->label_keys[i]);
+
+ *out_layer_neurons += (!ret) ? ml->n_categorical_values[i] : 1;
+ }
+
+
fclose(fp);
return;
@@ -331,7 +410,40 @@ void load_net_cfgs(struct Configs *cfg, char *key, char *value, char *strtok_ptr
else if (!strcmp(key, "alpha")) cfg->alpha = (double)atof(value);
else if (!strcmp(key, "inputs")) cfg->input_keys = config_read_values(&(cfg->n_input_keys), value, &strtok_ptr);
else if (!strcmp(key, "labels")) cfg->label_keys = config_read_values(&(cfg->n_label_keys), value, &strtok_ptr);
- else die("util_load_config() Error: Unknown parameter '%s' on file %s.", key, filepath);
+ else die("util_load_config() Error: Invalid parameter '%s' in [net] section on file %s.", key, filepath);
+}
+
+void load_preprocess_cfgs(struct Configs *cfg, char *key, char *value, char *strtok_ptr, char *filepath)
+{
+ if (!strcmp(key, "onehot")) cfg->onehot_keys = config_read_values(&cfg->n_onehot_keys, value, &strtok_ptr);
+ else die("util_load_config() Error: Invalid parameter '%s' in [preprocess] section on file %s", key, filepath);
+}
+
+
+void load_categorical_cfgs(
+ struct Configs *cfg,
+ char *key, char *value,
+ char *strtok_ptr)
+{
+ size_t size, *value_size;
+
+ size = cfg->n_categorical_keys;
+ if (cfg->n_categorical_keys == 0) {
+ cfg->categorical_keys = ecalloc(1, sizeof(char *));
+ cfg->categorical_values = ecalloc(1, sizeof(char **));
+ cfg->n_categorical_values = ecalloc(1, sizeof(size_t));
+ cfg->n_categorical_keys++;
+ } else {
+ cfg->categorical_keys = erealloc(cfg->categorical_keys, sizeof(char *) * (size + 1));
+ cfg->categorical_values = erealloc(cfg->categorical_values, sizeof(char *) * (size + 1));
+ cfg->n_categorical_values = erealloc(cfg->n_categorical_values, sizeof(size_t) * (size + 1));
+ cfg->n_categorical_keys++;
+ }
+
+ value_size = cfg->n_categorical_values + size;
+ cfg->categorical_keys[size] = e_strdup(key);
+ cfg->categorical_values[size] = config_read_values(value_size, value, &strtok_ptr);
+ qsort(cfg->categorical_values[size], *value_size, sizeof(char *), cmpstringp);
}
char ** config_read_values(size_t *n_out_keys, char *first_value, char **strtok_ptr)
@@ -348,4 +460,28 @@ char ** config_read_values(size_t *n_out_keys, char *first_value, char **strtok_
}
return out_keys;
}
+
+int util_get_key_index(char *key, char **keys, size_t n_keys)
+{
+ int i;
+ for (i = 0; (size_t)i < n_keys; i++)
+ if (!strcmp(key, keys[i])) return i;
+ return -1;
+}
+
+int util_argmax(double *values, size_t n_values)
+{
+ double value = values[0];
+ size_t i, j;
+ for (i = j = 0; i < n_values; i++) {
+ if (values[i] > value) j = i;
+ value = values[i];
+ }
+ return j;
+}
+
+int cmpstringp(const void *p1, const void *p2)
+{
+ return strcmp(*(const char **) p1, *(const char **) p2);
+}
#undef BUFFER_SIZE
diff --git a/src/util.h b/src/util.h
index 69ebfbe..707e79b 100644
--- a/src/util.h
+++ b/src/util.h
@@ -12,9 +12,14 @@ struct Configs {
char *loss;
char **input_keys, **label_keys;
size_t n_input_keys, n_label_keys;
+ char **categorical_keys, ***categorical_values;
+ size_t n_categorical_keys, *n_categorical_values;
char *weights_filepath;
char *config_filepath;
bool shuffle;
+ /* preprocessing */
+ char **onehot_keys;
+ size_t n_onehot_keys;
/* cli cfgs */
char *file_format;
char *in_filepath;
@@ -32,6 +37,8 @@ void die(const char *fmt, ...);
void *ecalloc(size_t nmemb, size_t size);
void *erealloc(void *ptr, size_t size);
char *e_strdup(const char *s);
+int util_get_key_index(char *key, char **keys, size_t n_keys);
+int util_argmax(double *values, size_t n_values);
void util_load_cli(struct Configs *ml, int argc, char *argv[]);
void util_load_config(struct Configs *ml, char *filepath);
void util_free_config(struct Configs *ml);
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