已更新
NirCandidateEngine

Library "CapNirCandidateEngine"
Frozen CapNir Gold/Strong Candidate model engine. Research/prospective validation only.
ready()
Returns true when the frozen engine is available.
Returns: Always true.
score_entry(raw)
Scores the 80-feature frozen ENTRY vector. Returns [raw SVR output, empirical rank 0..1].
Parameters:
raw (array<float>): 80-feature ENTRY vector in frozen feature order.
Returns: Tuple [raw score, empirical rank].
score_plus5(raw)
Scores the 80-feature frozen +5 vector. Returns [raw Ridge output, empirical rank 0..1].
Parameters:
raw (array<float>): 80-feature +5 vector in frozen feature order.
Returns: Tuple [raw score, empirical rank].
Frozen CapNir Gold/Strong Candidate model engine. Research/prospective validation only.
ready()
Returns true when the frozen engine is available.
Returns: Always true.
score_entry(raw)
Scores the 80-feature frozen ENTRY vector. Returns [raw SVR output, empirical rank 0..1].
Parameters:
raw (array<float>): 80-feature ENTRY vector in frozen feature order.
Returns: Tuple [raw score, empirical rank].
score_plus5(raw)
Scores the 80-feature frozen +5 vector. Returns [raw Ridge output, empirical rank 0..1].
Parameters:
raw (array<float>): 80-feature +5 vector in frozen feature order.
Returns: Tuple [raw score, empirical rank].
發行說明
v2Updated:
ready()
Engine health check. False means the support matrix did not deserialize exactly.
score_entry(raw)
Frozen Entry SVR score: [raw, empirical rank].
Parameters:
raw (array<float>)
score_plus5(raw)
Frozen +5 Ridge score: [raw, empirical rank].
Parameters:
raw (array<float>)
發行說明
v3Added:
version()
Updated:
ready()
score_entry(raw)
Parameters:
raw (array<float>)
score_plus5(raw)
Parameters:
raw (array<float>)
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免責聲明
這些資訊和出版物並非旨在提供,也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。