org.nd4j.shade.jackson.databind.SerializerProvider Java Examples
The following examples show how to use
org.nd4j.shade.jackson.databind.SerializerProvider.
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Example #1
Source File: FixedValueSerializer.java From deeplearning4j with Apache License 2.0 | 6 votes |
@Override public void serialize(FixedValue fixedValue, JsonGenerator j, SerializerProvider serializerProvider) throws IOException { Object o = fixedValue.getValue(); j.writeStringField("@valueclass", o.getClass().getName()); if(o instanceof Number || o instanceof String || o instanceof Enum){ j.writeObjectField("value", o); } else { ByteArrayOutputStream baos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(baos); oos.writeObject(o); baos.close(); byte[] b = baos.toByteArray(); String base64 = new Base64().encodeToString(b); j.writeStringField("data", base64); } }
Example #2
Source File: ConfusionMatrixSerializer.java From deeplearning4j with Apache License 2.0 | 6 votes |
@Override public void serialize(ConfusionMatrix<Integer> cm, JsonGenerator gen, SerializerProvider provider) throws IOException, JsonProcessingException { List<Integer> classes = cm.getClasses(); Map<Integer, Multiset<Integer>> matrix = cm.getMatrix(); Map<Integer, int[][]> m2 = new LinkedHashMap<>(); for (Integer i : matrix.keySet()) { //i = Actual class Multiset<Integer> ms = matrix.get(i); int[][] arr = new int[2][ms.size()]; int used = 0; for (Integer j : ms.elementSet()) { int count = ms.count(j); arr[0][used] = j; //j = Predicted class arr[1][used] = count; //prediction count used++; } m2.put(i, arr); } gen.writeStartObject(); gen.writeObjectField("classes", classes); gen.writeObjectField("matrix", m2); gen.writeEndObject(); }
Example #3
Source File: NDArraySerializer.java From nd4j with Apache License 2.0 | 5 votes |
@Override public void serialize(INDArray indArray, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { String toBase64 = Nd4jBase64.base64String(indArray); jsonGenerator.writeStartObject(); jsonGenerator.writeStringField("array", toBase64); jsonGenerator.writeEndObject(); }
Example #4
Source File: ROCArraySerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(ROC[] rocs, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeStartArray(); for (ROC r : rocs) { jsonGenerator.writeStartObject(); jsonGenerator.writeStringField("@class", ROC.class.getName()); serializer.serialize(r, jsonGenerator, serializerProvider); jsonGenerator.writeEndObject(); } jsonGenerator.writeEndArray(); }
Example #5
Source File: ROCSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serializeWithType(ROC value, JsonGenerator gen, SerializerProvider serializers, TypeSerializer typeSer) throws IOException { typeSer.writeTypePrefixForObject(value, gen); serialize(value, gen, serializers); typeSer.writeTypeSuffixForObject(value, gen); }
Example #6
Source File: ROCSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(ROC roc, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { boolean empty = roc.getExampleCount() == 0; if (roc.isExact() && !empty) { //For exact ROC implementation: force AUC and AUPRC calculation, so result can be stored in JSON, such //that we have them once deserialized. //Due to potentially huge size, exact mode doesn't store the original predictions in JSON roc.calculateAUC(); roc.calculateAUCPR(); } jsonGenerator.writeNumberField("thresholdSteps", roc.getThresholdSteps()); jsonGenerator.writeNumberField("countActualPositive", roc.getCountActualPositive()); jsonGenerator.writeNumberField("countActualNegative", roc.getCountActualNegative()); jsonGenerator.writeObjectField("counts", roc.getCounts()); if(!empty) { jsonGenerator.writeNumberField("auc", roc.calculateAUC()); jsonGenerator.writeNumberField("auprc", roc.calculateAUCPR()); } if (roc.isExact() && !empty) { //Store ROC and PR curves only for exact mode... they are redundant + can be calculated again for thresholded mode jsonGenerator.writeObjectField("rocCurve", roc.getRocCurve()); jsonGenerator.writeObjectField("prCurve", roc.getPrecisionRecallCurve()); } jsonGenerator.writeBooleanField("isExact", roc.isExact()); jsonGenerator.writeNumberField("exampleCount", roc.getExampleCount()); jsonGenerator.writeBooleanField("rocRemoveRedundantPts", roc.isRocRemoveRedundantPts()); }
Example #7
Source File: RowVectorSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(INDArray array, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { if (array.isView()) { array = array.dup(); } double[] dArr = array.data().asDouble(); jsonGenerator.writeObject(dArr); }
Example #8
Source File: NDArraySerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(INDArray indArray, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { String toBase64 = Nd4jBase64.base64String(indArray); jsonGenerator.writeStartObject(); jsonGenerator.writeStringField("array", toBase64); jsonGenerator.writeEndObject(); }
Example #9
Source File: DateTimeFieldTypeSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(DateTimeFieldType dateTimeFieldType, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeStartObject(); jsonGenerator.writeStringField("fieldType", dateTimeFieldType.getName()); jsonGenerator.writeEndObject(); }
Example #10
Source File: TDigestSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(TDigest td, JsonGenerator j, SerializerProvider sp) throws IOException, JsonProcessingException { try(ByteArrayOutputStream baos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(baos)){ oos.writeObject(td); oos.close(); byte[] bytes = baos.toByteArray(); Base64 b = new Base64(); String str = b.encodeAsString(bytes); j.writeStartObject(); j.writeStringField("digest", str); j.writeEndObject(); } }
Example #11
Source File: VectorSerializer.java From nd4j with Apache License 2.0 | 5 votes |
@Override public void serialize(INDArray indArray, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { if (indArray.isView()) indArray = indArray.dup(indArray.ordering()); jsonGenerator.writeStartObject(); DataBuffer view = indArray.data(); jsonGenerator.writeArrayFieldStart("dataBuffer"); for (int i = 0; i < view.length(); i++) { jsonGenerator.writeNumber(view.getDouble(i)); } jsonGenerator.writeEndArray(); jsonGenerator.writeArrayFieldStart("shapeField"); for (int i = 0; i < indArray.rank(); i++) { jsonGenerator.writeNumber(indArray.size(i)); } jsonGenerator.writeEndArray(); jsonGenerator.writeArrayFieldStart("strideField"); for (int i = 0; i < indArray.rank(); i++) jsonGenerator.writeNumber(indArray.stride(i)); jsonGenerator.writeEndArray(); jsonGenerator.writeNumberField("offsetField", indArray.offset()); jsonGenerator.writeStringField("typeField", indArray instanceof IComplexNDArray ? "complex" : "real"); jsonGenerator.writeNumberField("rankField", indArray.rank()); jsonGenerator.writeNumberField("numElements", view.length()); jsonGenerator.writeStringField("orderingField", String.valueOf(indArray.ordering())); jsonGenerator.writeEndObject(); }
Example #12
Source File: RowVectorSerializer.java From nd4j with Apache License 2.0 | 5 votes |
@Override public void serialize(INDArray array, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { if (array.isView()) { array = array.dup(); } double[] dArr = array.data().asDouble(); jsonGenerator.writeObject(dArr); }
Example #13
Source File: StorageLevelSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serialize(StorageLevel storageLevel, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { //This is a little ugly, but Spark doesn't provide many options here... String s = null; if (storageLevel != null) { s = map.get(storageLevel); } jsonGenerator.writeString(s); }
Example #14
Source File: DateTimeFieldTypeSerializer.java From DataVec with Apache License 2.0 | 5 votes |
@Override public void serialize(DateTimeFieldType dateTimeFieldType, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeStartObject(); jsonGenerator.writeStringField("fieldType", dateTimeFieldType.getName()); jsonGenerator.writeEndObject(); }
Example #15
Source File: TDigestSerializer.java From DataVec with Apache License 2.0 | 5 votes |
@Override public void serialize(TDigest td, JsonGenerator j, SerializerProvider sp) throws IOException, JsonProcessingException { try(ByteArrayOutputStream baos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(baos)){ oos.writeObject(td); oos.close(); byte[] bytes = baos.toByteArray(); Base64 b = new Base64(); String str = b.encodeAsString(bytes); j.writeStartObject(); j.writeStringField("digest", str); j.writeEndObject(); } }
Example #16
Source File: FixedValueSerializer.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public void serializeWithType(FixedValue value, JsonGenerator gen, SerializerProvider serializers, TypeSerializer typeSer) throws IOException { WritableTypeId typeId = typeSer.typeId(value, START_OBJECT); typeSer.writeTypePrefix(gen, typeId); serialize(value, gen, serializers); typeSer.writeTypeSuffix(gen, typeId); }
Example #17
Source File: JsonSerializerAtomicBoolean.java From deeplearning4j with Apache License 2.0 | 4 votes |
@Override public void serialize(AtomicBoolean atomicDouble, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeBoolean(atomicDouble.get()); }
Example #18
Source File: DataFormatSerializer.java From deeplearning4j with Apache License 2.0 | 4 votes |
@Override public void serialize(DataFormat dataFormat, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException { jsonGenerator.writeString(dataFormat.toString()); }
Example #19
Source File: JsonSerializerAtomicDouble.java From deeplearning4j with Apache License 2.0 | 4 votes |
@Override public void serialize(AtomicDouble atomicDouble, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeNumber(atomicDouble.doubleValue()); }
Example #20
Source File: BoundingBoxSerializer.java From konduit-serving with Apache License 2.0 | 4 votes |
@Override public void serialize(BoundingBox bb, JsonGenerator jg, SerializerProvider sp) throws IOException { DataJsonSerializer.writeBB(jg, bb); }
Example #21
Source File: JsonSerializerAtomicDouble.java From nd4j with Apache License 2.0 | 4 votes |
@Override public void serialize(AtomicDouble atomicDouble, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeNumber(atomicDouble.doubleValue()); }
Example #22
Source File: JsonSerializerAtomicBoolean.java From nd4j with Apache License 2.0 | 4 votes |
@Override public void serialize(AtomicBoolean atomicDouble, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException { jsonGenerator.writeBoolean(atomicDouble.get()); }
Example #23
Source File: DataJsonSerializer.java From konduit-serving with Apache License 2.0 | 4 votes |
@Override public void serialize(Data data, JsonGenerator jg, SerializerProvider sp) throws IOException { //TODO do we serialize in any particular order? jg.writeStartObject(); List<String> l = data.keys(); for (String s : l) { ValueType vt = data.type(s); jg.writeFieldName(s); switch (vt) { case NDARRAY: NDArray n = data.getNDArray(s); writeNDArray(jg, n); break; case STRING: String str = data.getString(s); jg.writeString(str); break; case BYTES: writeBytes(jg, data.getBytes(s)); break; case IMAGE: writeImage(jg, data.getImage(s)); break; case DOUBLE: writeDouble(jg, data.getDouble(s)); break; case INT64: writeLong(jg, data.getLong(s)); break; case BOOLEAN: boolean b = data.getBoolean(s); jg.writeBoolean(b); break; case DATA: Data d = data.getData(s); writeNestedData(jg, d); break; case LIST: /* Format: "myList" : ["x", "y", "z"] */ ValueType listVt = data.listType(s); List<?> list = data.getList(s, listVt); writeList(jg, list, listVt); break; case BOUNDING_BOX: BoundingBox bb = data.getBoundingBox(s); writeBB(jg, bb); break; case POINT: Point p = data.getPoint(s); writePoint(jg, p); break; default: throw new IllegalStateException("Value type not yet supported/implemented: " + vt); } } if (data.getMetaData() != null) { Data md = data.getMetaData(); jg.writeFieldName(Data.RESERVED_KEY_METADATA); writeNestedData(jg, md); } jg.writeEndObject(); }
Example #24
Source File: AsyncPipelineSerializer.java From konduit-serving with Apache License 2.0 | 4 votes |
@Override public void serialize(AsyncPipeline ap, JsonGenerator jg, SerializerProvider sp) throws IOException { Pipeline p = ap.underlying(); AsyncPipelineSerializationHelper h = new AsyncPipelineSerializationHelper(ap.trigger(), p); jg.writeObject(h); }