Merge pull request #31 from anyscale/odsc-updates

ready for ODSC West
anyscale · Oct 28, 2020 · 8617ceb · 8617ceb
2 parents e1a1f1e + b1cf70c
commit 8617ceb
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diff --git a/ray-rllib/multi-armed-bandits/04-Linear-Upper-Confidence-Bound.ipynb b/ray-rllib/multi-armed-bandits/04-Linear-Upper-Confidence-Bound.ipynb
@@ -169,7 +169,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ray.init(ignore_reinit_error=True)"
+    "info = ray.init(ignore_reinit_error=True)"
    ]
   },
   {
@@ -275,7 +275,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.plot(y=\"mean\", yerr=\"std\", xlabel=\"steps\", ylabel=\"regret\", title=\"Cumulative Regret\")"
+    "df.plot(y=\"mean\", yerr=\"std\", title=\"Cumulative Regret\")"
    ]
   },
   {

diff --git a/ray-rllib/multi-armed-bandits/05-Linear-Thompson-Sampling.ipynb b/ray-rllib/multi-armed-bandits/05-Linear-Thompson-Sampling.ipynb
@@ -233,7 +233,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "regrets.plot(y=\"mean\", yerr=\"std\", xlabel=\"steps\", title=\"Cumulative Regrets\")"
+    "regrets.plot(y=\"mean\", title=\"Cumulative Regrets\")"
    ]
   },
   {

diff --git a/ray-rllib/multi-armed-bandits/06-Market-Example.ipynb b/ray-rllib/multi-armed-bandits/06-Market-Example.ipynb
@@ -538,7 +538,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "rewards.plot(y=[\"mean\", \"max\"], secondary_y=True, title=\"Rewards vs. Steps\", xlabel=\"step\")"
+    "rewards.plot(y=[\"mean\", \"max\"], secondary_y=True, title=\"Rewards vs. Steps\")"
    ]
   },
   {
@@ -567,7 +567,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "regrets.plot(y=\"mean\", yerr=\"std\", title=\"Regrets vs. Steps\", xlabel=\"step\")"
+    "regrets.plot(y=\"mean\", yerr=\"std\", title=\"Regrets vs. Steps\")"
    ]
   },
   {

diff --git a/ray-rllib/recsys/01-Recsys.ipynb b/ray-rllib/recsys/01-Recsys.ipynb
diff --git a/requirements.txt b/requirements.txt
@@ -1,6 +1,6 @@
 gym >= 0.17.2
 numpy >= 1.18.5
-pandas
+pandas >= 1.1.1
 requests
 torch
 torchvision