list of tools.py methods

#todo.md#

@@ -0,0 +1,45 @@
+
+
+build_training_set(data, func)
+rename build_dataset
+
+build_training_set_fmultipleparams(data,func)
+rename build_dataset_fmultiparams
+
+target_vector(t_set)
+rename target_vector(dataset)
+
+input_data_matrix(t_set)
+rename data_matrix(dataset)
+
+utils_math:
+------------------------------------------------
+randomline()
+rename random_line_coefs
+
+target_function(coords)
+rename linear_function(coefs)
+
+target_random_function(coords)
+rename random_function()...
+
+signex(x,compare_to = 0)
+delete use sign with an alias
+
+sign(x,compare_to = 0)
+map_point(point,f)
+rename get_sign(point,f)
+
+map_point_fmultipleparams(point,f)
+get_sign_multiparam
+
+pseudo_inverse(X)
+check if needed
+
+linear_regression(N_points,t_set,lda = 1.0)
+
+linear_regression_lda(N_points,t_set,lda)
+
+utils_print:
+-----------------------------------------------
+print_avg(name,vector)

.#todo.md

@@ -0,0 +1 @@
+[email protected].401

README.md

@@ -2,58 +2,3 @@ caltech.ml
 ==========
 
 Machine learning course from Caltech
-
-utils_data:
--------------------------------------------------
-data_interval(low_b,high_b,N=100)
-rename with random_values(low_b,high_b,size)
-
-data(N = 10)
-rename with random_points(size)
-
-data_from_file(filepath)
-rename dataset_from_file
-
-build_training_set(data, func)
-rename build_dataset
-
-build_training_set_fmultipleparams(data,func)
-rename build_dataset_fmultiparams
-
-target_vector(t_set)
-rename target_vector(dataset)
-
-input_data_matrix(t_set)
-rename data_matrix(dataset)
-
-utils_math:
-------------------------------------------------
-randomline()
-rename random_line_coefs
-
-target_function(coords)
-rename linear_function(coefs)
-
-target_random_function(coords)
-rename random_function()...
-
-signex(x,compare_to = 0)
-delete use sign with an alias
-
-sign(x,compare_to = 0)
-map_point(point,f)
-rename get_sign(point,f)
-
-map_point_fmultipleparams(point,f)
-get_sign_multiparam
-
-pseudo_inverse(X)
-check if needed
-
-linear_regression(N_points,t_set,lda = 1.0)
-
-linear_regression_lda(N_points,t_set,lda)
-
-utils_print:
------------------------------------------------
-print_avg(name,vector)

todo.md

@@ -0,0 +1,56 @@
+
+
+utils_data:
+-------------------------------------------------
+data_interval(low_b,high_b,N=100)
+rename with random_values(low_b,high_b,size)
+
+data(N = 10)
+rename with random_points(size)
+
+data_from_file(filepath)
+rename dataset_from_file
+
+build_training_set(data, func)
+rename build_dataset
+
+build_training_set_fmultipleparams(data,func)
+rename build_dataset_fmultiparams
+
+target_vector(t_set)
+rename target_vector(dataset)
+
+input_data_matrix(t_set)
+rename data_matrix(dataset)
+
+utils_math:
+------------------------------------------------
+randomline()
+rename random_line_coefs
+
+target_function(coords)
+rename linear_function(coefs)
+
+target_random_function(coords)
+rename random_function()...
+
+signex(x,compare_to = 0)
+delete use sign with an alias
+
+sign(x,compare_to = 0)
+map_point(point,f)
+rename get_sign(point,f)
+
+map_point_fmultipleparams(point,f)
+get_sign_multiparam
+
+pseudo_inverse(X)
+check if needed
+
+linear_regression(N_points,t_set,lda = 1.0)
+
+linear_regression_lda(N_points,t_set,lda)
+
+utils_print:
+-----------------------------------------------
+print_avg(name,vector)