Diupdate
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].
Catatan Rilis
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>)
Catatan Rilis
v3Added:
version()
Updated:
ready()
score_entry(raw)
Parameters:
raw (array<float>)
score_plus5(raw)
Parameters:
raw (array<float>)
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.
Pernyataan Penyangkalan
Informasi dan publikasi ini tidak dimaksudkan, dan bukan merupakan, saran atau rekomendasi keuangan, investasi, trading, atau jenis lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Ketentuan Penggunaan.