attempting reduction of output

bandframework · Sep 7, 2024 · 3ae7052 · 3ae7052
1 parent 256a271
commit 3ae7052
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Showing 6 changed files with 16 additions and 16 deletions.
diff --git a/book/notebooks/LMM/Linear_BMM_with_cdf_function_for_SAMBA_models.ipynb b/book/notebooks/LMM/Linear_BMM_with_cdf_function_for_SAMBA_models.ipynb
@@ -49,8 +49,8 @@
     "# For plotting\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# ! pip install seaborn    # uncomment to install\n",
-    "# ! pip install ptemcee    # uncomment to install\n",
+    "! pip install seaborn    # comment if installed\n",
+    "! pip install ptemcee    # comment if installed\n",
     "\n",
     "import seaborn as sns\n",
     "sns.set_context('poster')\n",
@@ -247,7 +247,7 @@
     "                    'burn_in_fixed_discard': 50,\n",
     "                    'nsamples': 2000,\n",
     "                    'threads': 6,\n",
-    "                    'printdt': 2000}\n",
+    "                    'printdt': 9000}\n",
     "\n",
     "result = mix_model.train(x_exp=g, y_exp=y_exp, y_err=y_err, outdir = 'outdir/samba_bivariate', \n",
     "label='cdf_mix', kwargs_for_sampler=kwargs_for_sampler)"

diff --git a/book/notebooks/LMM/Linear_BMM_with_cdf_function_for_coleman_models.ipynb b/book/notebooks/LMM/Linear_BMM_with_cdf_function_for_coleman_models.ipynb
@@ -45,8 +45,8 @@
     "# For plotting\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# ! pip install seaborn    # uncomment to install\n",
-    "# ! pip install ptemcee    # uncomment to install\n",
+    "! pip install seaborn    # comment if installed\n",
+    "! pip install ptemcee    # comment if installed\n",
     "\n",
     "import seaborn as sns\n",
     "sns.set_context('poster')\n",
@@ -851,7 +851,7 @@
     "                    'burn_in_fixed_discard': 50,\n",
     "                    'nsamples': 2000,\n",
     "                    'threads': 6,\n",
-    "                    'printdt': 2000}\n",
+    "                    'printdt': 10000}\n",
     "\n",
     "result = mix_model.train(x_exp=g, y_exp=exp_data[0], y_err=exp_data[1],\n",
     "                        label='cdf_mix', \n",

diff --git a/book/notebooks/LMM/Linear_BMM_with_step_function_for_SAMBA_models.ipynb b/book/notebooks/LMM/Linear_BMM_with_step_function_for_SAMBA_models.ipynb
@@ -49,8 +49,8 @@
     "# For plotting\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# ! pip install seaborn    # uncomment to install\n",
-    "# ! pip install ptemcee    # uncomment to install\n",
+    "! pip install seaborn    # comment if installed\n",
+    "! pip install ptemcee    # comment if installed\n",
     "\n",
     "import seaborn as sns\n",
     "sns.set_context('poster')\n",
@@ -752,7 +752,7 @@
     "                    'burn_in_fixed_discard': 50,\n",
     "                    'nsamples': 2000,\n",
     "                    'threads': 6,\n",
-    "                    'printdt': 2000}\n",
+    "                    'printdt': 9000}\n",
     "\n",
     "result = mix_model.train(x_exp=g, y_exp=y_exp, y_err=y_err, outdir = 'outdir/samba_bivaraite', label='step_mix',\n",
     "                          kwargs_for_sampler=kwargs_for_sampler)"

diff --git a/book/notebooks/LMM/Linear_BMM_with_switchcos_function_for_SAMBA_models.ipynb b/book/notebooks/LMM/Linear_BMM_with_switchcos_function_for_SAMBA_models.ipynb
@@ -810,7 +810,7 @@
     "                    'nsamples': 2000,\n",
     "                    #'threads': 6,\n",
     "                    'npool':1,\n",
-    "                    'printdt': 2000}\n",
+    "                    'printdt': 9000}\n",
     "result = mix_model.train(x_exp=g, y_exp=y_exp, y_err=y_err,outdir = 'outdir/samba_bivariate_1', label='switchcos_mix', \n",
     "                         kwargs_for_sampler=kwargs_for_sampler)"
    ]

diff --git a/...oks/LMM/Linear_BMM_with_switchcos_function_for_SAMBA_models_Bilby_constrained_prior.ipynb b/...oks/LMM/Linear_BMM_with_switchcos_function_for_SAMBA_models_Bilby_constrained_prior.ipynb
@@ -60,8 +60,8 @@
     "# For plotting\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# ! pip install seaborn    # uncomment to install\n",
-    "# ! pip install ptemcee    # uncomment to install\n",
+    "! pip install seaborn    # comment if installed\n",
+    "! pip install ptemcee    # comment if installed\n",
     "\n",
     "import seaborn as sns\n",
     "sns.set_context('poster')\n",
@@ -751,7 +751,7 @@
     "                    'burn_in_fixed_discard': 50,\n",
     "                    'nsamples': 2000,\n",
     "                    'threads': 6,\n",
-    "                    'printdt': 2000}\n",
+    "                    'printdt': 9000}\n",
     "\n",
     "result = mix_model.train(x_exp=g, y_exp=exp_data[0], y_err=exp_data[1],outdir = 'outdir/samba_bivariate', \n",
     "                         label='switchcos_mix_constrained',\n",

diff --git a/book/notebooks/LMM/coleman_models_BMM_comparative_study.ipynb b/book/notebooks/LMM/coleman_models_BMM_comparative_study.ipynb
@@ -47,8 +47,8 @@
     "# For plotting\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# ! pip install seaborn    # uncomment to install\n",
-    "# ! pip install ptemcee    # uncomment to install\n",
+    "! pip install seaborn    # comment if installed\n",
+    "! pip install ptemcee    # comment if installed\n",
     "\n",
     "import seaborn as sns\n",
     "sns.set_context('poster')\n",
@@ -342,7 +342,7 @@
     "                'burn_in_fixed_discard':500,\n",
     "                'nsamples':3000,\n",
     "                'threads':6,\n",
-    "                'printdt':3000}\n",
+    "                'printdt':10000}\n",
     "                #'safety':2,\n",
     "                #'autocorr_tol':5}"
    ]