Tensors should behave more like NumPy matrices
Bug #413182 reported by
Catherine Havasi
This bug affects 1 person
| Affects | Status | Importance | Assigned to | Milestone | |
|---|---|---|---|---|---|
| Divisi |
Confirmed
|
Medium
|
Unassigned | ||
Bug Description
You should be able to get row k of a matrix with matrix[k].
You should be able to iterate rows with `for row in matrix` or perhaps matrix.rows().
All of NumPy's broadcasting stuff should work.
In short, a Tensor should look like a NumPy matrix, except that .iteritems() should return key-value pairs and sparse matrices can grow in size. (Plus all the convenient .normalized, .svd, etc.)
| summary: |
- Why the heck do we have to use a : in indexes? + Tensors should behave more like NumPy matrices |
| description: | updated |
| Changed in divisi: | |
| status: | New → Confirmed |
| importance: | Undecided → Medium |
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