Create intelligent_node_selection.js

blockchain_integration/pi_network/PiFusion/node_selection/intelligent_node_selection.js

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+import pandas as pd
+from sklearn.ensemble import RandomForestClassifier
+from tensorflow.keras.models import Sequential
+
+class IntelligentNodeSelection:
+  def __init__(self, node_data):
+    self.node_data = node_data
+    self.model = self.train_model()
+
+  def train_model(self):
+    # Train a random forest classifier on node data
+    X = self.node_data.drop(['reputation', 'incentivization'], axis=1)
+    y = self.node_data['reputation']
+    model = RandomForestClassifier(n_estimators=100)
+    model.fit(X, y)
+    return model
+
+  def select_nodes(self, num_nodes):
+    # Use the trained model to select the top N nodes
+    predictions = self.model.predict(self.node_data)
+    top_nodes = self.node_data.nlargest(num_nodes, 'reputation')
+    return top_nodes