Skip to content

Commit e75cd2f

Browse files
fvlankveltfvlankvelt
committed
Cleanup outputs
1 parent 99cfbfe commit e75cd2f

File tree

1 file changed

+21
-172
lines changed

1 file changed

+21
-172
lines changed

‎Automatic Relevance Determination.ipynb‎

Lines changed: 21 additions & 172 deletions
Original file line numberDiff line numberDiff line change
@@ -28,114 +28,36 @@
2828
},
2929
{
3030
"cell_type": "code",
31-
"execution_count": 2,
32-
"metadata": {
33-
"collapsed": true
34-
},
35-
"outputs": [
36-
{
37-
"data": {
38-
"text/plain": [
39-
"\u001b[32mimport \u001b[39m\u001b[36m$ivy.$ \n",
40-
"\u001b[39m\n",
41-
"\u001b[32mimport \u001b[39m\u001b[36m$ivy.$ \u001b[39m"
42-
]
43-
},
44-
"execution_count": 2,
45-
"metadata": {},
46-
"output_type": "execute_result"
47-
}
48-
],
31+
"execution_count": null,
32+
"metadata": {},
33+
"outputs": [],
4934
"source": [
5035
"import $ivy.`scala-infer::scala-infer:0.3`\n",
5136
"import $ivy.`org.jupyter-scala::kernel-api:0.4.1`"
5237
]
5338
},
5439
{
5540
"cell_type": "code",
56-
"execution_count": 3,
57-
"metadata": {
58-
"collapsed": true
59-
},
60-
"outputs": [
61-
{
62-
"data": {
63-
"text/plain": [
64-
"\u001b[32mimport \u001b[39m\u001b[36mscappla._\n",
65-
"\u001b[39m\n",
66-
"\u001b[32mimport \u001b[39m\u001b[36mscappla.Functions._\n",
67-
"\u001b[39m\n",
68-
"\u001b[32mimport \u001b[39m\u001b[36mscappla.distributions._\n",
69-
"\u001b[39m\n",
70-
"\u001b[32mimport \u001b[39m\u001b[36mscappla.guides._\n",
71-
"\u001b[39m\n",
72-
"\u001b[32mimport \u001b[39m\u001b[36mscappla.optimization._\n",
73-
"\u001b[39m\n",
74-
"\u001b[32mimport \u001b[39m\u001b[36mscappla.tensor.Tensor._\n",
75-
"\u001b[39m\n",
76-
"\u001b[32mimport \u001b[39m\u001b[36mscappla.tensor._\u001b[39m"
77-
]
78-
},
79-
"execution_count": 3,
80-
"metadata": {},
81-
"output_type": "execute_result"
82-
}
83-
],
41+
"execution_count": null,
42+
"metadata": {},
43+
"outputs": [],
8444
"source": [
8545
"import scappla._\n",
8646
"import scappla.Functions._\n",
8747
"import scappla.distributions._\n",
8848
"import scappla.guides._\n",
8949
"import scappla.optimization._\n",
9050
"import scappla.tensor.Tensor._\n",
91-
"import scappla.tensor._"
92-
]
93-
},
94-
{
95-
"cell_type": "code",
96-
"execution_count": 4,
97-
"metadata": {
98-
"collapsed": true
99-
},
100-
"outputs": [
101-
{
102-
"data": {
103-
"text/plain": [
104-
"\u001b[32mimport \u001b[39m\u001b[36mscala.util.Random\u001b[39m"
105-
]
106-
},
107-
"execution_count": 4,
108-
"metadata": {},
109-
"output_type": "execute_result"
110-
}
111-
],
112-
"source": [
51+
"import scappla.tensor._\n",
52+
"\n",
11353
"import scala.util.Random"
11454
]
11555
},
11656
{
11757
"cell_type": "code",
118-
"execution_count": 5,
119-
"metadata": {
120-
"collapsed": true
121-
},
122-
"outputs": [
123-
{
124-
"data": {
125-
"text/plain": [
126-
"defined \u001b[32mclass\u001b[39m \u001b[36mRecord\u001b[39m\n",
127-
"defined \u001b[32mclass\u001b[39m \u001b[36mBatch\u001b[39m\n",
128-
"\u001b[36mbatch\u001b[39m: \u001b[32mBatch\u001b[39m = \u001b[33mBatch\u001b[39m(\u001b[32m1000\u001b[39m)\n",
129-
"\u001b[36ma_vals\u001b[39m: \u001b[32mValue\u001b[39m[\u001b[32mArrayTensor\u001b[39m, \u001b[32mBatch\u001b[39m] = scappla.Constant@12f3f093\n",
130-
"\u001b[36mb_vals\u001b[39m: \u001b[32mValue\u001b[39m[\u001b[32mArrayTensor\u001b[39m, \u001b[32mBatch\u001b[39m] = scappla.Constant@31e80b51\n",
131-
"\u001b[36my_vals\u001b[39m: \u001b[32mValue\u001b[39m[\u001b[32mArrayTensor\u001b[39m, \u001b[32mBatch\u001b[39m] = scappla.Constant@5f6ae152"
132-
]
133-
},
134-
"execution_count": 5,
135-
"metadata": {},
136-
"output_type": "execute_result"
137-
}
138-
],
58+
"execution_count": null,
59+
"metadata": {},
60+
"outputs": [],
13961
"source": [
14062
"case class Record(a: Float, b: Float, y: Float)\n",
14163
"\n",
@@ -165,39 +87,9 @@
16587
},
16688
{
16789
"cell_type": "code",
168-
"execution_count": 6,
169-
"metadata": {
170-
"collapsed": true
171-
},
172-
"outputs": [
173-
{
174-
"data": {
175-
"text/plain": [
176-
"\u001b[36ma_prior_s\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@7e13f371\n",
177-
"\u001b[36mb_prior_s\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@314da4f9\n",
178-
"\u001b[36ma_post_mu\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@33764907\n",
179-
"\u001b[36ma_post_s\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@3a272583\n",
180-
"\u001b[36ma_guide\u001b[39m: \u001b[32mReparamGuide\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = \u001b[33mReparamGuide\u001b[39m(\n",
181-
" \u001b[33mNormal\u001b[39m(scappla.Param@33764907, \u001b[33mApply1\u001b[39m(scappla.Param@3a272583, <function1>))\n",
182-
")\n",
183-
"\u001b[36mb_post_mu\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@5cbb302d\n",
184-
"\u001b[36mb_post_s\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@5d9b0110\n",
185-
"\u001b[36mb_guide\u001b[39m: \u001b[32mReparamGuide\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = \u001b[33mReparamGuide\u001b[39m(\n",
186-
" \u001b[33mNormal\u001b[39m(scappla.Param@5cbb302d, \u001b[33mApply1\u001b[39m(scappla.Param@5d9b0110, <function1>))\n",
187-
")\n",
188-
"\u001b[36mnoise_mu\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@33f65cad\n",
189-
"\u001b[36mnoise_s\u001b[39m: \u001b[32mParam\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = scappla.Param@58927bd0\n",
190-
"\u001b[36mnoise_guide\u001b[39m: \u001b[32mReparamGuide\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m] = \u001b[33mReparamGuide\u001b[39m(\n",
191-
" \u001b[33mNormal\u001b[39m(scappla.Param@33f65cad, \u001b[33mApply1\u001b[39m(scappla.Param@58927bd0, <function1>))\n",
192-
")\n",
193-
"\u001b[36mmodel\u001b[39m: \u001b[32mModel\u001b[39m[\u001b[32mUnit\u001b[39m] = ammonite.$sess.cmd5$Helper$$anon$1@67449597"
194-
]
195-
},
196-
"execution_count": 6,
197-
"metadata": {},
198-
"output_type": "execute_result"
199-
}
200-
],
90+
"execution_count": null,
91+
"metadata": {},
92+
"outputs": [],
20193
"source": [
20294
"val a_prior_s = Param(0.0)\n",
20395
"val b_prior_s = Param(0.0)\n",
@@ -229,34 +121,13 @@
229121
},
230122
{
231123
"cell_type": "code",
232-
"execution_count": 7,
233-
"metadata": {
234-
"collapsed": true
235-
},
236-
"outputs": [
237-
{
238-
"data": {
239-
"text/plain": [
240-
"\u001b[36mopt\u001b[39m: \u001b[32mAdam\u001b[39m = scappla.optimization.Adam@7bc3e74f\n",
241-
"\u001b[36minterpreter\u001b[39m: \u001b[32mOptimizingInterpreter\u001b[39m = scappla.OptimizingInterpreter@115f4b3"
242-
]
243-
},
244-
"execution_count": 7,
245-
"metadata": {},
246-
"output_type": "execute_result"
247-
}
248-
],
249-
"source": [
250-
"val opt = new Adam(0.1)\n",
251-
"val interpreter = new OptimizingInterpreter(opt)"
252-
]
253-
},
254-
{
255-
"cell_type": "code",
256-
"execution_count": 15,
124+
"execution_count": null,
257125
"metadata": {},
258126
"outputs": [],
259127
"source": [
128+
"val opt = new Adam(0.1)\n",
129+
"val interpreter = new OptimizingInterpreter(opt)\n",
130+
"\n",
260131
"for { _ <- 0 until 10000 } {\n",
261132
" interpreter.reset()\n",
262133
" model.sample(interpreter)\n",
@@ -265,31 +136,9 @@
265136
},
266137
{
267138
"cell_type": "code",
268-
"execution_count": 17,
269-
"metadata": {
270-
"collapsed": true
271-
},
272-
"outputs": [
273-
{
274-
"data": {
275-
"text/plain": [
276-
"\u001b[36mparams\u001b[39m: \u001b[32mSeq\u001b[39m[(\u001b[32mString\u001b[39m, \u001b[32mExpr\u001b[39m[\u001b[32mDouble\u001b[39m, \u001b[32mUnit\u001b[39m])] = \u001b[33mList\u001b[39m(\n",
277-
" (\u001b[32m\"a_prior\"\u001b[39m, \u001b[33mApply1\u001b[39m(scappla.Param@7e13f371, <function1>)),\n",
278-
" (\u001b[32m\"b_prior\"\u001b[39m, \u001b[33mApply1\u001b[39m(scappla.Param@314da4f9, <function1>)),\n",
279-
" (\u001b[32m\"a_post_mu\"\u001b[39m, scappla.Param@33764907),\n",
280-
" (\u001b[32m\"a_post_s\"\u001b[39m, \u001b[33mApply1\u001b[39m(scappla.Param@3a272583, <function1>)),\n",
281-
" (\u001b[32m\"b_post_mu\"\u001b[39m, scappla.Param@5cbb302d),\n",
282-
" (\u001b[32m\"b_post_s\"\u001b[39m, \u001b[33mApply1\u001b[39m(scappla.Param@5d9b0110, <function1>)),\n",
283-
" (\u001b[32m\"noise_mu\"\u001b[39m, \u001b[33mApply1\u001b[39m(scappla.Param@33f65cad, <function1>)),\n",
284-
" (\u001b[32m\"noise_s\"\u001b[39m, \u001b[33mApply1\u001b[39m(scappla.Param@58927bd0, <function1>))\n",
285-
")"
286-
]
287-
},
288-
"execution_count": 17,
289-
"metadata": {},
290-
"output_type": "execute_result"
291-
}
292-
],
139+
"execution_count": null,
140+
"metadata": {},
141+
"outputs": [],
293142
"source": [
294143
"val params = Seq(\n",
295144
" \"a_prior\" -> exp(a_prior_s),\n",

0 commit comments

Comments
 (0)