Comments (2)
Closed by b751177
from fsrs-rs.
[src/training.rs:124] &model_trained.w.clone() = Param {
id: ParamId {
value: "9ad5f781-2856-4302-aba0-4f87b36650a8",
},
value: Tensor {
primitive: ADTensor {
primitive: NdArrayTensor {
array: [0.2259229, 0.6, 1.9517553, 5.0650554, 5.4109883, 0.997119, 1.1177697, 0.01, 0.86084074, 0.55591977, 0.2646879, 1.9531487, 0.27267408, 0.086273395, 1.0594337, -0.00071644306, 2.4137843], shape=[17], strides=[1], layout=CFcf (0xf), dynamic ndim=1,
},
node: Node {
parents: [],
order: 0,
id: NodeID {
value: "c23d485c-93af-400a-a9d2-5770dfc6a9a8",
},
requirement: Grad,
},
graph: Graph {
steps: Mutex { data: {
NodeID {
value: "c23d485c-93af-400a-a9d2-5770dfc6a9a8",
}: RootStep {
node: Node {
parents: [],
order: 0,
id: NodeID {
value: "c23d485c-93af-400a-a9d2-5770dfc6a9a8",
},
requirement: Grad,
},
},
}},
},
},
},
}
from fsrs-rs.
Related Issues (20)
- [Enhancement] Use more splits while training with larger datasets HOT 3
- Request: Ignore reviews before "Forget" HOT 9
- Enhancement: Include incomplete revlogs even when training HOT 4
- Consider time-frame limitation? HOT 3
- TODO: speed up finding optimal retention via Brent's method
- Better outlier filter for trainset HOT 25
- Skip reviews with time = 0 when calculating average answer times HOT 1
- What's the difference between this repo and rs-fsrs? HOT 1
- User guide HOT 3
- Add an option to turn off outlier filter when benchmark HOT 1
- Inference.rs uses the new power curve, but the default parameters are from v4 HOT 17
- Add a example file HOT 4
- Reference usage? HOT 5
- Pre-training Only when the number of reviews is less than 1000 HOT 5
- [BUG] Potential inconsistency in optimal_retention.rs HOT 20
- [Question] How to choose "Days to simulate"? HOT 14
- [Feature Request[ Use two different sets of initial parameters, then average out the results HOT 4
- Use the first revlog in the "known" review history for converting SM-2 ivl & ease to memory states HOT 13
- Achieve parity with the Python optimizer HOT 10
- support WASM HOT 4
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from fsrs-rs.