Merge branch 'master' into typo

Author: cclauss

DIRECTORY.md

@@ -134,6 +134,7 @@
   * [Run Length Encoding](compression/run_length_encoding.py)
 
 ## Computer Vision
+  * [Cnn Classification](computer_vision/cnn_classification.py)
   * [Flip Augmentation](computer_vision/flip_augmentation.py)
   * [Haralick Descriptors](computer_vision/haralick_descriptors.py)
   * [Harris Corner](computer_vision/harris_corner.py)
@@ -344,6 +345,7 @@
   * [Floyd Warshall](dynamic_programming/floyd_warshall.py)
   * [Integer Partition](dynamic_programming/integer_partition.py)
   * [Iterating Through Submasks](dynamic_programming/iterating_through_submasks.py)
+  * [K Means Clustering Tensorflow](dynamic_programming/k_means_clustering_tensorflow.py)
   * [Knapsack](dynamic_programming/knapsack.py)
   * [Largest Divisible Subset](dynamic_programming/largest_divisible_subset.py)
   * [Longest Common Subsequence](dynamic_programming/longest_common_subsequence.py)
@@ -571,6 +573,8 @@
     * [Local Weighted Learning](machine_learning/local_weighted_learning/local_weighted_learning.py)
   * [Logistic Regression](machine_learning/logistic_regression.py)
   * [Loss Functions](machine_learning/loss_functions.py)
+  * Lstm
+    * [Lstm Prediction](machine_learning/lstm/lstm_prediction.py)
   * [Mfcc](machine_learning/mfcc.py)
   * [Multilayer Perceptron Classifier](machine_learning/multilayer_perceptron_classifier.py)
   * [Polynomial Regression](machine_learning/polynomial_regression.py)
@@ -801,6 +805,7 @@
     * [Swish](neural_network/activation_functions/swish.py)
   * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
   * [Convolution Neural Network](neural_network/convolution_neural_network.py)
+  * [Input Data](neural_network/input_data.py)
   * [Simple Neural Network](neural_network/simple_neural_network.py)
 
 ## Other

computer_vision/cnn_classification.py.DISABLED.txt renamed to computer_vision/cnn_classification.py

@@ -17,11 +17,11 @@
     make sure you set the price column on line number 21.  Here we
     use a dataset which have the price on 3rd column.
     """
-    df = pd.read_csv("sample_data.csv", header=None)
-    len_data = df.shape[:1][0]
+    sample_data = pd.read_csv("sample_data.csv", header=None)
+    len_data = sample_data.shape[:1][0]
     # If you're using some other dataset input the target column
-    actual_data = df.iloc[:, 1:2]
-    actual_data = actual_data.values.reshape(len_data, 1)
+    actual_data = sample_data.iloc[:, 1:2]
+    actual_data = actual_data.to_numpy().reshape(len_data, 1)
     actual_data = MinMaxScaler().fit_transform(actual_data)
     look_back = 10
     forward_days = 5

dynamic_programming/k_means_clustering_tensorflow.py.DISABLED.txt renamed to dynamic_programming/k_means_clustering_tensorflow.py

@@ -18,17 +18,22 @@
 """
 
 
-import collections
 import gzip
 import os
+import typing
 import urllib
 
 import numpy
 from tensorflow.python.framework import dtypes, random_seed
 from tensorflow.python.platform import gfile
 from tensorflow.python.util.deprecation import deprecated
 
-_Datasets = collections.namedtuple("_Datasets", ["train", "validation", "test"])
+
+class _Datasets(typing.NamedTuple):
+    train: "_DataSet"
+    validation: "_DataSet"
+    test: "_DataSet"
+
 
 # CVDF mirror of http://yann.lecun.com/exdb/mnist/
 DEFAULT_SOURCE_URL = "https://storage.googleapis.com/cvdf-datasets/mnist/"

machine_learning/lstm/lstm_prediction.py.DISABLED.txt renamed to machine_learning/lstm/lstm_prediction.py

@@ -17,7 +17,7 @@ rich
 scikit-learn
 statsmodels
 sympy
-tensorflow ; python_version < '3.12'
+tensorflow
 tweepy
 # yulewalker  # uncomment once audio_filters/equal_loudness_filter.py is fixed
 typing_extensions