output: /tmp/results2
timeoutSeconds: 1000
common:
  numFeatures: 10
  numExamples: [1, 3]
  numTestExamples: 100
  numPartitions: 3
  randomSeed: [1]
benchmarks:
  - name: classification.DecisionTreeClassification
    params:
      numExamples: 100
      numTestExamples: 10
      depth: 3
      numClasses: 4
      numFeatures: 5
  - name: classification.GBTClassification
    params:
      numExamples: 100
      numTestExamples: 10
      depth: 3
      numClasses: 2
      numFeatures: 5
      maxIter: 3
  - name: classification.LinearSVC
    params:
      numExamples: 100
      numFeatures: 10
      regParam: 0.1
      tol: 0.001
      maxIter: 10
  - name: classification.LogisticRegression
    params:
      numFeatures: 100
      regParam: 0.1
      tol: [0.2, 0.1]
      maxIter: 10
  - name: classification.NaiveBayes
    params:
      numExamples: 100
      smoothing: 1.0
      numClasses: 10
      numFeatures: [10]
  - name: classification.RandomForestClassification
    params:
      numExamples: 100
      numTestExamples: 10
      depth: 3
      numClasses: 4
      numFeatures: 5
      maxIter: 3
  - name: clustering.GaussianMixture
    params:
      numExamples: 10
      numTestExamples: 10
      k: 5
      maxIter: 10
      tol: 0.01
  - name: clustering.KMeans
    params:
      numExamples: 10
      numTestExamples: 10
      k: 5
      maxIter: 10
      tol: 1e-4
  - name: clustering.LDA
    params:
      numExamples: 10
      numTestExamples: 10
      docLength: 20
      vocabSize: 4
      k: 5
      maxIter: 10
      optimizer:
        - em
        - online
  - name: feature.BucketedRandomProjectionLSH
    params:
      numExamples: 100
      numFeatures: 10
      numHashTables: 1
  - name: feature.Bucketizer
    params:
      numExamples: 100
      bucketizerNumBuckets: 10
  - name: feature.HashingTF
    params:
      numExamples: 100
      docLength: 20
      vocabSize: 4
  - name: feature.MinHashLSH
    params:
      numExamples: 100
      numFeatures: 10
      numHashTables: 1
  - name: feature.OneHotEncoder
    params:
      numExamples: 100
      featureArity: 10
  - name: feature.QuantileDiscretizer
    params:
      numExamples: 100
      bucketizerNumBuckets: 2
      relativeError: 0.001
  - name: feature.StringIndexer
    params:
      numExamples: 100
      vocabSize: 10
  - name: feature.Tokenizer
    params:
      numExamples: 100
      vocabSize: 10
      docLength: 10
  - name: feature.VectorAssembler
    params:
      numExamples: 100
      numInputCols: 5
      numFeatures: 10
  - name: feature.VectorSlicer
    params:
      numExamples: 100
      numFeatures: 10
  - name: feature.Word2Vec
    params:
      numExamples: 100
      vocabSize: 100
      docLength: 10
      numSynonymsToFind: 3
  - name: recommendation.ALS
    params:
      numExamples: 100
      numTestExamples: 100
      numUsers: 100
      numItems: 100
      regParam: 0.1
      rank: 10
      maxIter: 6
  - name: regression.DecisionTreeRegression
    params:
      numExamples: 100
      numTestExamples: 10
      depth: 3
      numClasses: 4
      numFeatures: 5
  - name: regression.GBTRegression
    params:
      numExamples: 100
      numTestExamples: 10
      depth: 3
      maxIter: 3
  - name: regression.GLMRegression
    params:
      numExamples: 100
      numTestExamples: 10
      numFeatures: 5
      link: log
      family: gaussian
      tol: 1e-6
      maxIter: 10
      regParam: 0.1
  - name: regression.LinearRegression
    params:
      numExamples: 100
      numTestExamples: 100
      numFeatures: 100
      regParam: 0.1
      tol: [1e-6]
      maxIter: 10
  - name: regression.RandomForestRegression
    params:
      numExamples: 100
      numTestExamples: 10
      depth: 3
      numFeatures: 5
      maxIter: 3
  - name: fpm.FPGrowth
    params:
      numExamples: 200
      numItems: 6
      itemSetSize: 3