Question

我正在使用H2O 3.20.0.10开发Spring Boot应用程序，并且需要框架中所有列的摘要/元数据。调用H2oApi的frameSummary（）时，出现MalformedJsonException：

Caused by: com.google.gson.stream.MalformedJsonException: JSON forbids NaN and infinities: NaN at line 1 column 23937 path $.frames[0].columns[6].mean
    at com.google.gson.stream.JsonReader.nextDouble(JsonReader.java:912)
    at com.google.gson.Gson$1.read(Gson.java:319)
    at com.google.gson.Gson$1.read(Gson.java:313)
    at com.google.gson.internal.bind.ReflectiveTypeAdapterFactory$1.read(ReflectiveTypeAdapterFactory.java:131)
    at com.google.gson.internal.bind.ReflectiveTypeAdapterFactory$Adapter.read(ReflectiveTypeAdapterFactory.java:222)
    at com.google.gson.internal.bind.TypeAdapterRuntimeTypeWrapper.read(TypeAdapterRuntimeTypeWrapper.java:41)
    at com.google.gson.internal.bind.ArrayTypeAdapter.read(ArrayTypeAdapter.java:72)
    at com.google.gson.internal.bind.ReflectiveTypeAdapterFactory$1.read(ReflectiveTypeAdapterFactory.java:131)
    at com.google.gson.internal.bind.ReflectiveTypeAdapterFactory$Adapter.read(ReflectiveTypeAdapterFactory.java:222)
    at com.google.gson.internal.bind.TypeAdapterRuntimeTypeWrapper.read(TypeAdapterRuntimeTypeWrapper.java:41)
    at com.google.gson.internal.bind.ArrayTypeAdapter.read(ArrayTypeAdapter.java:72)
    at com.google.gson.internal.bind.ReflectiveTypeAdapterFactory$1.read(ReflectiveTypeAdapterFactory.java:131)
    at com.google.gson.internal.bind.ReflectiveTypeAdapterFactory$Adapter.read(ReflectiveTypeAdapterFactory.java:222)
    at retrofit2.converter.gson.GsonResponseBodyConverter.convert(GsonResponseBodyConverter.java:37)
    at retrofit2.converter.gson.GsonResponseBodyConverter.convert(GsonResponseBodyConverter.java:25)
    at retrofit2.ServiceMethod.toResponse(ServiceMethod.java:116)
    at retrofit2.OkHttpCall.parseResponse(OkHttpCall.java:211)
    at retrofit2.OkHttpCall.execute(OkHttpCall.java:174)
    at water.bindings.H2oApi.frameSummary(H2oApi.java:3718)

位置23937的列是枚举类型，因此没有平均值。

更新MWE：

new H2oApi("http://localhost:54321").frameSummary(key);

H2O的响应类似于：

__meta  
        schema_version  3
        schema_name "FramesV3"
        schema_type "Frames"
    _exclude_fields ""
    row_offset  0
    row_count   -1
    column_offset   0
    full_column_count   -1
    column_count    -1
    job null
frames  
    0   
        __meta  
            schema_version  3
            schema_name "FrameV3"
            schema_type "Frame"
        _exclude_fields ""
        frame_id    
            __meta  
                schema_version  3
                schema_name "FrameKeyV3"
                schema_type "Key<Frame>"
            name    "TrainR"
            type    "Key<Frame>"
            URL "/3/Frames/TrainR"
        byte_size   48018
        is_text false
        row_offset  0
        row_count   100
        column_offset   0
        column_count    10
        full_column_count   10
        total_column_count  10
        checksum    5296931134826174000
        rows    1233
        num_columns 10
        default_percentiles […]
        columns 
            0   {…}
            1   {…}
            2   {…}
            3   {…}
            4   {…}
            5   {…}
            6   
                __meta  
                    schema_version  3
                    schema_name "ColV3"
                    schema_type "Vec"
                label   "weekday"
                missing_count   0
                zero_count  176
                positive_infinity_count 0
                negative_infinity_count 0
                mins    […]
                maxs    […]
                mean    "NaN"
                sigma   "NaN"
                type    "enum"
                domain  […]
                domain_cardinality  7
                data    […]
                string_data null
                precision   -1
                histogram_bins  […]
                histogram_base  0
                histogram_stride    1
                percentiles […]
            7   {…}
            8   {…}
            9   {…}
compatible_models   null

有没有解决方法？

Answer 1

我能够解决此问题。 Gson通常不喜欢原始值（或对象也是如此）的无穷“ NaN”

解决方法是在配置Gson时放宽。

我还创建了一个拉取请求：https://github.com/h2oai/h2o-3/pull/2962

使用H2OApi Java绑定检索H2O框架摘要以MalformedJsonException结尾

1 个答案: