code: def test_pandas_dataframe(self):
      def model_creator(config):
          input1 = tf.keras.layers.Input(shape=(1,))
          input2 = tf.keras.layers.Input(shape=(1,))
          concatenation = tf.concat([input1, input2], axis=-1)
          outputs = tf.keras.layers.Dense(
              units=1, activation="softmax"
          )(concatenation)
          model = tf.keras.Model(
              inputs=[input1, input2], outputs=outputs
          )
          model.compile(**compile_args(config))
          return model
  
      file_path = os.path.join(resource_path, "orca/learn/ncf2.csv")
      train_data_shard = read_csv(file_path)
  
      config = {"lr": 0.8}
  
      trainer = Estimator.from_keras(
          model_creator=model_creator,
          verbose=True,
          config=config,
          workers_per_node=1,
      )
  
      trainer.fit(
          train_data_shard,
          epochs=1,
          batch_size=4,
          steps_per_epoch=25,
          feature_cols=["user", "item"],
          label_cols=["label"],
      )
      trainer.evaluate(
          train_data_shard,
          batch_size=4,
          num_steps=25,
          feature_cols=["user", "item"],
          label_cols=["label"],
      )
  
      result = trainer.predict(
          train_data_shard, feature_cols=["user", "item"]
      )
      predictions = result.collect()[0]
      import pandas as pd
  
      assert isinstance(
          predictions, pd.DataFrame
      ), "predict should return a pandas dataframe"
      assert isinstance(
          predictions["prediction"], pd.Series
      ), "predict dataframe should have a column named prediction"
  
imports: import math
  import os
  import shutil
  import tempfile
  import pytest
  from unittest import TestCase
  import tensorflow
  import numpy
  from bigdl.orca.data.pandas import read_csv
  from bigdl.orca.data import SparkXShards, XShards
  from bigdl.orca.data.tf.data import Dataset
  from bigdl.orca.learn.tf2 import Estimator
  from bigdl.orca.ray import OrcaRayContext
  from bigdl.orca import OrcaContext
label_desc: Use image node_id 9 for calling the TestTF2EstimatorRayBackend obj's underlying member method code with example usage: obj.test_pandas_dataframe() and returns: model