scglue.models.scglue.PairedSCGLUEModel.compile
- PairedSCGLUEModel.compile(lam_data=1.0, lam_kl=1.0, lam_graph=0.02, lam_align=0.05, lam_sup=0.02, lam_joint_cross=0.02, lam_real_cross=0.02, lam_cos=0.02, normalize_u=False, modality_weight=None, lr=2e-3, **kwargs)[源代码]
为模型训练做准备
- 参数:
lam_data (
float) – Data weightlam_kl (
float) – KL weightlam_graph (
float) – Graph weightlam_align (
float) – Adversarial alignment weightlam_sup (
float) – Cell type supervision weightlam_joint_cross (
float) – Joint cross-prediction weightlam_real_cross (
float) – Real cross-prediction weightlam_cos (
float) – Cosine similarity weightnormalize_u (
bool) – Whether to L2 normalize cell embeddings before decodermodality_weight (
typing.Optional[typing.Mapping[str,float]]) – Relative modality weight (indexed by modality name)lr (
float) – Learning rate
- 返回类型: