diff --git a/error.txt b/error.txt
index 018291d..706320f 100644
--- a/error.txt
+++ b/error.txt
@@ -1,72 +1,34 @@
 /usr/bin/python3 /root/PycharmProjects/als_movie/collab_filter.py
-25/04/22 06:53:16 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
+25/04/22 07:41:40 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
 Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
 Setting default log level to "WARN".
 To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
 Training: 3563128, validation: 1189844, test: 1188989
 
-[(21708, 165, 3.5), (21708, 168, 1.0), (21708, 208, 2.0)]
-[(21708, 110, 4.5), (21708, 1641, 1.5), (21708, 1682, 4.5)]
-[(21708, 95, 3.5), (21708, 153, 1.5), (21708, 161, 4.0)]
+[(1, 316, 5.0), (1, 329, 5.0), (1, 356, 5.0)]
+[(1, 185, 5.0), (3, 6377, 4.0), (3, 6539, 5.0)]
+[(1, 122, 5.0), (1, 231, 5.0), (1, 292, 5.0)]
 1189844
-25/04/22 06:53:44 ERROR TaskSetManager: Task 0 in stage 17.0 failed 4 times; aborting job
+[Stage 142:====================================================>(120 + 2) / 122]25/04/22 07:43:44 ERROR TaskSchedulerImpl: Lost executor 0 on 100.64.0.10: Command exited with code 137
+[Stage 142:==================================================>(120 + -40) / 122]25/04/22 07:43:44 ERROR TransportResponseHandler: Still have 1 requests outstanding when connection from /100.64.0.10:59762 is closed
+[Stage 142:=========>(120 + -120) / 122][Stage 142:>            (0 + 120) / 122]25/04/22 07:45:02 ERROR TaskSchedulerImpl: Lost executor 4 on 100.64.0.10: worker lost
+[Stage 142:=========>(120 + -120) / 122][Stage 142:>             (0 + 80) / 122]25/04/22 07:45:02 ERROR TaskSchedulerImpl: Lost executor 3 on 100.64.0.10: Remote RPC client disassociated. Likely due to containers exceeding thresholds, or network issues. Check driver logs for WARN messages.
+[Stage 131:>             (0 + 40) / 120][Stage 142:=========>(120 + -120) / 122]25/04/22 07:45:29 ERROR TaskSetManager: Task 19 in stage 131.1 failed 4 times; aborting job
 Traceback (most recent call last):
-  File "/root/PycharmProjects/als_movie/collab_filter.py", line 54, in <module>
-    lambda_=regularizationParameter)
-  File "/usr/local/bin/python3.6/lib/python3.6/site-packages/pyspark/mllib/recommendation.py", line 274, in train
-    lambda_, blocks, nonnegative, seed)
-  File "/usr/local/bin/python3.6/lib/python3.6/site-packages/pyspark/mllib/common.py", line 130, in callMLlibFunc
-    return callJavaFunc(sc, api, *args)
-  File "/usr/local/bin/python3.6/lib/python3.6/site-packages/pyspark/mllib/common.py", line 123, in callJavaFunc
-    return _java2py(sc, func(*args))
+  File "/root/PycharmProjects/als_movie/collab_filter.py", line 56, in <module>
+    error = computeError(predictedRatingsRDD, validationRDD)
+  File "/root/PycharmProjects/als_movie/collab_filter.py", line 15, in computeError
+    totalError = squaredErrorsRDD.reduce(lambda a, b: a + b)
+  File "/usr/local/bin/python3.6/lib/python3.6/site-packages/pyspark/rdd.py", line 844, in reduce
+    vals = self.mapPartitions(func).collect()
+  File "/usr/local/bin/python3.6/lib/python3.6/site-packages/pyspark/rdd.py", line 816, in collect
+    sock_info = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
   File "/usr/local/bin/python3.6/lib/python3.6/site-packages/py4j/java_gateway.py", line 1257, in __call__
     answer, self.gateway_client, self.target_id, self.name)
   File "/usr/local/bin/python3.6/lib/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
     format(target_id, ".", name), value)
-py4j.protocol.Py4JJavaError: An error occurred while calling o135.trainALSModel.
-: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 17.0 failed 4 times, most recent failure: Lost task 0.3 in stage 17.0 (TID 17, 100.64.0.11, executor 2): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 364, in main
-    func, profiler, deserializer, serializer = read_command(pickleSer, infile)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 69, in read_command
-    command = serializer._read_with_length(file)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 173, in _read_with_length
-    return self.loads(obj)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 587, in loads
-    return pickle.loads(obj, encoding=encoding)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/mllib/__init__.py", line 28, in <module>
-    import numpy
-ModuleNotFoundError: No module named 'numpy'
-
-	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
-	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:592)
-	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:575)
-	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
-	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
-	at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
-	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:390)
-	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
-	at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
-	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
-	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
-	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
-	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
-	at scala.collection.AbstractIterator.to(Iterator.scala:1334)
-	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
-	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1334)
-	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
-	at scala.collection.AbstractIterator.toArray(Iterator.scala:1334)
-	at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$31.apply(RDD.scala:1409)
-	at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$31.apply(RDD.scala:1409)
-	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2107)
-	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2107)
-	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
-	at org.apache.spark.scheduler.Task.run(Task.scala:123)
-	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:411)
-	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
-	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:417)
-	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
-	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
-	at java.lang.Thread.run(Thread.java:748)
+py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
+: org.apache.spark.SparkException: Job aborted due to stage failure: Task 19 in stage 131.1 failed 4 times, most recent failure: Lost task 19.3 in stage 131.1 (TID 4082, 100.64.0.12, executor 1): java.lang.ArrayIndexOutOfBoundsException
 
 Driver stacktrace:
 	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1925)
@@ -87,20 +49,14 @@ Driver stacktrace:
 	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067)
 	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2088)
 	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2107)
-	at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1409)
+	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2132)
+	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:990)
 	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
 	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
 	at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
-	at org.apache.spark.rdd.RDD.take(RDD.scala:1382)
-	at org.apache.spark.rdd.RDD$$anonfun$isEmpty$1.apply$mcZ$sp(RDD.scala:1517)
-	at org.apache.spark.rdd.RDD$$anonfun$isEmpty$1.apply(RDD.scala:1517)
-	at org.apache.spark.rdd.RDD$$anonfun$isEmpty$1.apply(RDD.scala:1517)
-	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
-	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
-	at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
-	at org.apache.spark.rdd.RDD.isEmpty(RDD.scala:1516)
-	at org.apache.spark.mllib.recommendation.ALS.run(ALS.scala:240)
-	at org.apache.spark.mllib.api.python.PythonMLLibAPI.trainALSModel(PythonMLLibAPI.scala:488)
+	at org.apache.spark.rdd.RDD.collect(RDD.scala:989)
+	at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:166)
+	at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
 	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
 	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
 	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
@@ -112,49 +68,7 @@ Driver stacktrace:
 	at py4j.commands.CallCommand.execute(CallCommand.java:79)
 	at py4j.GatewayConnection.run(GatewayConnection.java:238)
 	at java.lang.Thread.run(Thread.java:748)
-Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 364, in main
-    func, profiler, deserializer, serializer = read_command(pickleSer, infile)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/worker.py", line 69, in read_command
-    command = serializer._read_with_length(file)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 173, in _read_with_length
-    return self.loads(obj)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/serializers.py", line 587, in loads
-    return pickle.loads(obj, encoding=encoding)
-  File "/opt/module/spark-2.4.8-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/mllib/__init__.py", line 28, in <module>
-    import numpy
-ModuleNotFoundError: No module named 'numpy'
-
-	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
-	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:592)
-	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:575)
-	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
-	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
-	at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
-	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:390)
-	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
-	at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
-	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
-	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
-	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
-	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
-	at scala.collection.AbstractIterator.to(Iterator.scala:1334)
-	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
-	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1334)
-	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
-	at scala.collection.AbstractIterator.toArray(Iterator.scala:1334)
-	at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$31.apply(RDD.scala:1409)
-	at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$31.apply(RDD.scala:1409)
-	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2107)
-	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2107)
-	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
-	at org.apache.spark.scheduler.Task.run(Task.scala:123)
-	at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:411)
-	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
-	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:417)
-	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
-	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
-	... 1 more
+Caused by: java.lang.ArrayIndexOutOfBoundsException
 
 
 Process finished with exit code 1