Ali Ahmed55

الف شكراا جدا لحضرتكم جزاكم الله كل خير

السلام عليكم ده الكود # Remember to inherit from the correct class class EarlyStoppingCallback(tf.keras.callbacks.Callback): # Define the correct function signature for on_epoch_end method def on_epoch_end(self,epoch,logs=None): # Check if the accuracy is greater or equal to 0.98 if logs['accuracy'] >= 0.98: # Stop training once the above condition is met self.model.stop_training = True print("\nReached 98% accuracy so cancelling training!")

الف شكراا جدا لحضرتكم جزاكم الله كل خير

السلام عليكم هل لازم عالم البيانات يتعمق في Data Structures & Algorithms؟

الف شكراا جدا جدا لحضرتكم جزاكم الله كل خير

السلام عليكم الفرق مابين Software Engineer, Data Scientist / ML Engineer ؟

الف شكراا جدا لحضرتكم جزاك الله كل خير

الف شكراا جدا لحضرتك جزاك الله كل خير

الف شكراا جدا لحضرتكم جزاك الله كل خير

الف شكراا جدا لحضرتك جزاك الله كل خير

السلام عليكم هم بس دول العاملين المهمين جدا لمعرفه ادء الخورزميه Space Complexity and Time Complexity ؟

الف شكراا جدا لحضرتك جزاك الله كل خير

بس بتحصل بقا المشكله دي /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/templates.py:95: RuntimeWarning: 1889 seconds elapsed before server startup. This exceeds the startup time limit of 900 seconds that the gateway will enforce during the rerun on the hidden test set. Start the server before performing any time consuming steps. warnings.warn( --------------------------------------------------------------------------- GatewayRuntimeError Traceback (most recent call last) /tmp/ipykernel_39/2380296845.py in <cell line: 0>() 38 inference_server.serve() 39 else: ---> 40 inference_server.run_local_gateway(('/kaggle/input/hull-tactical-market-prediction/',)) /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/templates.py in run_local_gateway(self, data_paths, file_share_dir, *args, **kwargs) 106 self.gateway.run() 107 except Exception as err: --> 108 raise err from None 109 finally: 110 self.server.stop(0) /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/templates.py in run_local_gateway(self, data_paths, file_share_dir, *args, **kwargs) 104 try: 105 self.gateway = self._get_gateway_for_test(data_paths, file_share_dir, *args, **kwargs) --> 106 self.gateway.run() 107 except Exception as err: 108 raise err from None /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/base_gateway.py in run(self) 149 elif error: 150 # For local testing --> 151 raise error 152 153 @final /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/base_gateway.py in run(self) 130 try: 131 self.unpack_data_paths() --> 132 predictions, row_ids = self.get_all_predictions() 133 self.write_submission(predictions, row_ids) 134 except GatewayRuntimeError as gre: /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/base_gateway.py in get_all_predictions(self) 106 self.data_batch_counter = 0 107 for data_batch, row_ids in self.generate_data_batches(): --> 108 predictions = self.predict(*data_batch) 109 self.competition_agnostic_validation(predictions, row_ids) 110 self.competition_specific_validation(predictions, row_ids, data_batch) /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/base_gateway.py in predict(self, *args, **kwargs) 124 return self.client.send('predict', *args, **kwargs) 125 except Exception as e: --> 126 self.handle_server_error(e, 'predict') 127 128 def run(self) -> None: /kaggle/input/hull-tactical-market-prediction/kaggle_evaluation/core/base_gateway.py in handle_server_error(self, exception, endpoint) 429 message_match = re.search('"Exception calling application: (.*)"', exception_str, re.IGNORECASE) 430 message = message_match.group(1) if message_match else exception_str --> 431 raise GatewayRuntimeError(GatewayRuntimeErrorType.SERVER_RAISED_EXCEPTION, message) from None 432 if isinstance(exception, grpc._channel._InactiveRpcError): 433 raise GatewayRuntimeError(GatewayRuntimeErrorType.SERVER_CONNECTION_FAILED, exception_str) from None GatewayRuntimeError: (<GatewayRuntimeErrorType.SERVER_RAISED_EXCEPTION: 3>, "predict() missing 1 required positional argument: 'test_with_dates'")

ايوه بس اطار البيانات ده انا مسح منو العمود ده في بيانات التدريب وكمان الاختبار عشان كده عملت copy البيانات ؟

الف شكراا جدا لحضرتك جزاك الله كل خير