package io.github.algomaster99.terminator.commons.cyclonedx;
import java.util.ArrayList;
import java.util.List;
import javax.annotation.processing.Generated;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonPropertyDescription;
import com.fasterxml.jackson.annotation.JsonPropertyOrder;
/**
* Model Parameters
*
* Hyper-parameters for construction of the model.
*
*/
@JsonInclude(JsonInclude.Include.NON_NULL)
@JsonPropertyOrder({
"approach",
"task",
"architectureFamily",
"modelArchitecture",
"datasets",
"inputs",
"outputs"
})
@Generated("jsonschema2pojo")
public class ModelParameters {
/**
* Approach
*
* The overall approach to learning used by the model for problem solving.
*
*/
@JsonProperty("approach")
@JsonPropertyDescription("The overall approach to learning used by the model for problem solving.")
private Approach approach;
/**
* Task
*
* Directly influences the input and/or output. Examples include classification, regression, clustering, etc.
*
*/
@JsonProperty("task")
@JsonPropertyDescription("Directly influences the input and/or output. Examples include classification, regression, clustering, etc.")
private String task;
/**
* Architecture Family
*
* The model architecture family such as transformer network, convolutional neural network, residual neural network, LSTM neural network, etc.
*
*/
@JsonProperty("architectureFamily")
@JsonPropertyDescription("The model architecture family such as transformer network, convolutional neural network, residual neural network, LSTM neural network, etc.")
private String architectureFamily;
/**
* Model Architecture
*
* The specific architecture of the model such as GPT-1, ResNet-50, YOLOv3, etc.
*
*/
@JsonProperty("modelArchitecture")
@JsonPropertyDescription("The specific architecture of the model such as GPT-1, ResNet-50, YOLOv3, etc.")
private String modelArchitecture;
/**
* Datasets
*
* The datasets used to train and evaluate the model.
*
*/
@JsonProperty("datasets")
@JsonPropertyDescription("The datasets used to train and evaluate the model.")
private List datasets = new ArrayList();
/**
* Inputs
*
* The input format(s) of the model
*
*/
@JsonProperty("inputs")
@JsonPropertyDescription("The input format(s) of the model")
private List inputs = new ArrayList();
/**
* Outputs
*
* The output format(s) from the model
*
*/
@JsonProperty("outputs")
@JsonPropertyDescription("The output format(s) from the model")
private List outputs = new ArrayList();
/**
* Approach
*
* The overall approach to learning used by the model for problem solving.
*
*/
@JsonProperty("approach")
public Approach getApproach() {
return approach;
}
/**
* Approach
*
* The overall approach to learning used by the model for problem solving.
*
*/
@JsonProperty("approach")
public void setApproach(Approach approach) {
this.approach = approach;
}
/**
* Task
*
* Directly influences the input and/or output. Examples include classification, regression, clustering, etc.
*
*/
@JsonProperty("task")
public String getTask() {
return task;
}
/**
* Task
*
* Directly influences the input and/or output. Examples include classification, regression, clustering, etc.
*
*/
@JsonProperty("task")
public void setTask(String task) {
this.task = task;
}
/**
* Architecture Family
*
* The model architecture family such as transformer network, convolutional neural network, residual neural network, LSTM neural network, etc.
*
*/
@JsonProperty("architectureFamily")
public String getArchitectureFamily() {
return architectureFamily;
}
/**
* Architecture Family
*
* The model architecture family such as transformer network, convolutional neural network, residual neural network, LSTM neural network, etc.
*
*/
@JsonProperty("architectureFamily")
public void setArchitectureFamily(String architectureFamily) {
this.architectureFamily = architectureFamily;
}
/**
* Model Architecture
*
* The specific architecture of the model such as GPT-1, ResNet-50, YOLOv3, etc.
*
*/
@JsonProperty("modelArchitecture")
public String getModelArchitecture() {
return modelArchitecture;
}
/**
* Model Architecture
*
* The specific architecture of the model such as GPT-1, ResNet-50, YOLOv3, etc.
*
*/
@JsonProperty("modelArchitecture")
public void setModelArchitecture(String modelArchitecture) {
this.modelArchitecture = modelArchitecture;
}
/**
* Datasets
*
* The datasets used to train and evaluate the model.
*
*/
@JsonProperty("datasets")
public List getDatasets() {
return datasets;
}
/**
* Datasets
*
* The datasets used to train and evaluate the model.
*
*/
@JsonProperty("datasets")
public void setDatasets(List datasets) {
this.datasets = datasets;
}
/**
* Inputs
*
* The input format(s) of the model
*
*/
@JsonProperty("inputs")
public List getInputs() {
return inputs;
}
/**
* Inputs
*
* The input format(s) of the model
*
*/
@JsonProperty("inputs")
public void setInputs(List inputs) {
this.inputs = inputs;
}
/**
* Outputs
*
* The output format(s) from the model
*
*/
@JsonProperty("outputs")
public List getOutputs() {
return outputs;
}
/**
* Outputs
*
* The output format(s) from the model
*
*/
@JsonProperty("outputs")
public void setOutputs(List outputs) {
this.outputs = outputs;
}
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append(ModelParameters.class.getName()).append('@').append(Integer.toHexString(System.identityHashCode(this))).append('[');
sb.append("approach");
sb.append('=');
sb.append(((this.approach == null)?"":this.approach));
sb.append(',');
sb.append("task");
sb.append('=');
sb.append(((this.task == null)?"":this.task));
sb.append(',');
sb.append("architectureFamily");
sb.append('=');
sb.append(((this.architectureFamily == null)?"":this.architectureFamily));
sb.append(',');
sb.append("modelArchitecture");
sb.append('=');
sb.append(((this.modelArchitecture == null)?"":this.modelArchitecture));
sb.append(',');
sb.append("datasets");
sb.append('=');
sb.append(((this.datasets == null)?"":this.datasets));
sb.append(',');
sb.append("inputs");
sb.append('=');
sb.append(((this.inputs == null)?"":this.inputs));
sb.append(',');
sb.append("outputs");
sb.append('=');
sb.append(((this.outputs == null)?"":this.outputs));
sb.append(',');
if (sb.charAt((sb.length()- 1)) == ',') {
sb.setCharAt((sb.length()- 1), ']');
} else {
sb.append(']');
}
return sb.toString();
}
@Override
public int hashCode() {
int result = 1;
result = ((result* 31)+((this.outputs == null)? 0 :this.outputs.hashCode()));
result = ((result* 31)+((this.task == null)? 0 :this.task.hashCode()));
result = ((result* 31)+((this.inputs == null)? 0 :this.inputs.hashCode()));
result = ((result* 31)+((this.architectureFamily == null)? 0 :this.architectureFamily.hashCode()));
result = ((result* 31)+((this.modelArchitecture == null)? 0 :this.modelArchitecture.hashCode()));
result = ((result* 31)+((this.datasets == null)? 0 :this.datasets.hashCode()));
result = ((result* 31)+((this.approach == null)? 0 :this.approach.hashCode()));
return result;
}
@Override
public boolean equals(Object other) {
if (other == this) {
return true;
}
if ((other instanceof ModelParameters) == false) {
return false;
}
ModelParameters rhs = ((ModelParameters) other);
return ((((((((this.outputs == rhs.outputs)||((this.outputs!= null)&&this.outputs.equals(rhs.outputs)))&&((this.task == rhs.task)||((this.task!= null)&&this.task.equals(rhs.task))))&&((this.inputs == rhs.inputs)||((this.inputs!= null)&&this.inputs.equals(rhs.inputs))))&&((this.architectureFamily == rhs.architectureFamily)||((this.architectureFamily!= null)&&this.architectureFamily.equals(rhs.architectureFamily))))&&((this.modelArchitecture == rhs.modelArchitecture)||((this.modelArchitecture!= null)&&this.modelArchitecture.equals(rhs.modelArchitecture))))&&((this.datasets == rhs.datasets)||((this.datasets!= null)&&this.datasets.equals(rhs.datasets))))&&((this.approach == rhs.approach)||((this.approach!= null)&&this.approach.equals(rhs.approach))));
}
}
