code: def algo_to_classname(algo):
      if algo == "coxph":
          return "H2OCoxProportionalHazardsEstimator"
      if algo == "deeplearning":
          return "H2ODeepLearningEstimator"
      if algo == "xgboost":
          return "H2OXGBoostEstimator"
      if algo == "infogram":
          return "H2OInfogram"
      if algo == "gbm":
          return "H2OGradientBoostingEstimator"
      if algo == "glm":
          return "H2OGeneralizedLinearEstimator"
      if algo == "glrm":
          return "H2OGeneralizedLowRankEstimator"
      if algo == "kmeans":
          return "H2OKMeansEstimator"
      if algo == "naivebayes":
          return "H2ONaiveBayesEstimator"
      if algo == "drf":
          return "H2ORandomForestEstimator"
      if algo == "upliftdrf":
          return "H2OUpliftRandomForestEstimator"
      if algo == "svd":
          return "H2OSingularValueDecompositionEstimator"
      if algo == "pca":
          return "H2OPrincipalComponentAnalysisEstimator"
      if algo == "stackedensemble":
          return "H2OStackedEnsembleEstimator"
      if algo == "isolationforest":
          return "H2OIsolationForestEstimator"
      if algo == "extendedisolationforest":
          return "H2OExtendedIsolationForestEstimator"
      if algo == "dt":
          return "H2ODecisionTreeEstimator"
      if algo == "psvm":
          return "H2OSupportVectorMachineEstimator"
      if algo == "gam":
          return "H2OGeneralizedAdditiveEstimator"
      if algo == "anovaglm":
          return "H2OANOVAGLMEstimator"
      if algo == "targetencoder":
          return "H2OTargetEncoderEstimator"
      if algo == "rulefit":
          return "H2ORuleFitEstimator"
      if algo == "modelselection":
          return "H2OModelSelectionEstimator"
      if algo == "isotonicregression":
          return "H2OIsotonicRegressionEstimator"
      if algo == "adaboost":
          return "H2OAdaBoostEstimator"
      return "H2O" + algo.capitalize() + "Estimator"
  
imports: from copy import deepcopy
  from functools import partial
  from io import StringIO
  from inspect import getsource
  from pprint import pformat
  import sys
  import bindings
  from custom import get_customizations_for, reformat_block
label_desc: Use image node_id 8 for calling a global function with example usage: algo_to_classname(algo) and returns: unknown, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str, str