Documentation ¶
Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type Variant ¶
type Variant struct { // // Randomization Assignment Paramaters // // Weight, per variant, for weighted choice Weight float64 `yaml:"weight" json:"weight"` // P Value if we're doing probabalistic P *float32 `yaml:"p" json:"p"` // Drawer Count for Sample DrawCount *int `yaml:"drawCount" json:"drawCount"` // Metadata represents some metadata/labels we should // Apply to provisioned variants to identify them Metadata metadata `yaml:"metadata" json:"metadata"` // Config represents config for // the variant, which relies specifically // on the implemented configuration options // for a provider which can be targetted Config map[string]interface{} `yaml:"config" json:"config"` // Spec represents some configurable/mergable // set of configuration for merging with an existing // deployed spec for a resource such as a pod Spec map[string]interface{} `yaml:"spec" json:"spec"` // Label all resources with the experiment and variant // configuration, defaults to true AutoLabel bool `yaml:"autolabel" json:"autolabel"` //ExperimentId is the experiment the variant belongs to ExperimentID string // Id (temporary) is an internal id for addressing the variant ID string `yaml:"id" json:"id"` // AssignmentHash is set when a variant is returned as part of an // assignment operation AssignmentHash string `yaml:"assignmentHash" json:"assignmentHash"` // Name (optional) is a human readable format for the variant Name string `yaml:"name" json:"name"` }
Variant defines a choice/or variant option in an experiment
func NewVariant ¶
func NewVariant() Variant
NewVariant returns an initialized Variant with proper defaults
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