Github user dorx commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1733#discussion_r16009653
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/mllib/stat/test/TestResult.scala ---
    @@ -0,0 +1,88 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.mllib.stat.test
    +
    +import org.apache.spark.annotation.Experimental
    +
    +/**
    + * :: Experimental ::
    + * Trait for hypothesis test results.
    + * @tparam DF Return type of `degreesOfFreedom`
    + */
    +@Experimental
    +trait TestResult[DF] {
    +
    +  /**
    +   *
    +   */
    +  def pValue: Double
    +
    +  /**
    +   *
    +   * @return
    +   */
    +  def degreesOfFreedom: DF
    +
    +  /**
    +   *
    +   * @return
    +   */
    +  def statistic: Double
    +
    +  /**
    +   * String explaining the hypothesis test result.
    +   * Specific classes implementing this trait should override this method 
to output test-specific
    +   * information.
    +   */
    +  override def toString: String = {
    +
    +    // String explaining what the p-value indicates.
    +    val pValueExplain = if (pValue <= 0.01) {
    +      "Very strong presumption against null hypothesis."
    +    } else if (0.01 < pValue && pValue <= 0.05) {
    +      "Strong presumption against null hypothesis."
    +    } else if (0.05 < pValue && pValue <= 0.01) {
    +      "Low presumption against null hypothesis."
    +    } else {
    +      "No presumption against null hypothesis."
    +    }
    +
    +    s"degrees of freedom = ${degreesOfFreedom.toString} \n" +
    +    s"statistic = $statistic \n" +
    +    s"pValue = $pValue \n" + pValueExplain
    +  }
    +}
    +
    +/**
    + * :: Experimental ::
    + * Object containing the test results for the chi squared hypothesis test.
    + */
    +@Experimental
    +case class ChiSquaredTestResult(override val pValue: Double,
    --- End diff --
    
    Case class is a logical choice here since it's essentially an immutable 
object holding a bunch of invariant fields and doesn't do any stateful 
computations inside of the class. Is there development plan for extending this 
classes in the future?


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