internal BatchPredictionEngine(IHostEnvironment env, Stream modelStream, bool ignoreMissingColumns,
                                       SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null)
        {
            Contracts.AssertValue(env);
            Contracts.AssertValue(modelStream);
            Contracts.AssertValueOrNull(inputSchemaDefinition);
            Contracts.AssertValueOrNull(outputSchemaDefinition);

            // Initialize pipe.
            _srcDataView = DataViewConstructionUtils.CreateFromEnumerable(env, new TSrc[] { }, inputSchemaDefinition);

            // Load transforms.
            var pipe = env.LoadTransforms(modelStream, _srcDataView);

            // Load predictor (if present) and apply default scorer.
            // REVIEW: distinguish the case of predictor / no predictor?
            var predictor = env.LoadPredictorOrNull(modelStream);

            if (predictor != null)
            {
                var roles = ModelFileUtils.LoadRoleMappingsOrNull(env, modelStream);
                pipe = roles != null
                    ? env.CreateDefaultScorer(RoleMappedData.CreateOpt(pipe, roles), predictor)
                    : env.CreateDefaultScorer(env.CreateExamples(pipe, "Features"), predictor);
            }

            _pipeEngine = new PipeEngine <TDst>(env, pipe, ignoreMissingColumns, outputSchemaDefinition);
        }
        internal BatchPredictionEngine(IHostEnvironment env, IDataView dataPipeline, bool ignoreMissingColumns,
                                       SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null)
        {
            Contracts.AssertValue(env);
            Contracts.AssertValue(dataPipeline);
            Contracts.AssertValueOrNull(inputSchemaDefinition);
            Contracts.AssertValueOrNull(outputSchemaDefinition);

            // Initialize pipe.
            _srcDataView = DataViewConstructionUtils.CreateFromEnumerable(env, new TSrc[] { }, inputSchemaDefinition);
            var pipe = ApplyTransformUtils.ApplyAllTransformsToData(env, dataPipeline, _srcDataView);

            _pipeEngine = new PipeEngine <TDst>(env, pipe, ignoreMissingColumns, outputSchemaDefinition);
        }
        internal BatchPredictionEngine(IHostEnvironment env, Stream modelStream, bool ignoreMissingColumns,
                                       SchemaDefinition inputSchemaDefinition = null, SchemaDefinition outputSchemaDefinition = null)
        {
            Contracts.AssertValue(env);
            Contracts.AssertValue(modelStream);
            Contracts.AssertValueOrNull(inputSchemaDefinition);
            Contracts.AssertValueOrNull(outputSchemaDefinition);

            // Initialize pipe.
            _srcDataView = DataViewConstructionUtils.CreateFromEnumerable(env, new TSrc[] { }, inputSchemaDefinition);
            var pipe = DataViewConstructionUtils.LoadPipeWithPredictor(env, modelStream, _srcDataView);

            _pipeEngine = new PipeEngine <TDst>(env, pipe, ignoreMissingColumns, outputSchemaDefinition);
        }