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searchindex.js
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title>","Book Figures","Authors","Obtaining the Source Code","Development","Curse of Dimensionality: Volume Ratio","Data Processing Algorithms","Bayesian Blocks for Histograms","Catalog cross-matching","Linear Sum of Gaussians","Example of downloading and processing SDSS spectra","Data set Examples","Plot the power spectrum of LIGO","Stellar Parameters Hess Diagram","Corrected Spectra","SDSS Data Release 7 Quasar catalog","SDSS \u201cGreat Wall\u201d","SDSS Moving Object Catalog","NASA Sloan Atlas","RR-Lyrae Magnitudes","SDSS Standard Star catalog","SDSS Filters","SDSS Galaxy Colors","SDSS Imaging","SDSS Line-ratio Diagrams","SDSS Spectroscopic Galaxy Sample","SDSS Spectrum Example","WMAP power spectrum analysis with HealPy","WMAP plotting with HEALPix","Examples","Machine Learning and Data Modeling","K-Neighbors for Photometric Redshifts","AstroML: Machine Learning and Data Mining for Astronomy","<span class=\"section-number\">11. </span>Class reference","<span class=\"section-number\">11.12.1. </span>astroML.classification.GMMBayes","<span class=\"section-number\">11.8.3. </span>astroML.correlation.bootstrap_two_point","<span class=\"section-number\">11.8.4. </span>astroML.correlation.bootstrap_two_point_angular","<span class=\"section-number\">11.8.1. </span>astroML.correlation.two_point","<span class=\"section-number\">11.8.2. </span>astroML.correlation.two_point_angular","<span class=\"section-number\">11.4.18. </span>astroML.datasets.fetch_LIGO_bigdog","<span class=\"section-number\">11.4.19. </span>astroML.datasets.fetch_LIGO_large","<span class=\"section-number\">11.4.17. </span>astroML.datasets.fetch_LINEAR_geneva","<span class=\"section-number\">11.4.16. </span>astroML.datasets.fetch_LINEAR_sample","<span class=\"section-number\">11.4.5. </span>astroML.datasets.fetch_dr7_quasar","<span class=\"section-number\">11.4.11. </span>astroML.datasets.fetch_great_wall","<span class=\"section-number\">11.4.20. </span>astroML.datasets.fetch_hogg2010test","<span class=\"section-number\">11.4.12. </span>astroML.datasets.fetch_imaging_sample","<span class=\"section-number\">11.4.6. </span>astroML.datasets.fetch_moving_objects","<span class=\"section-number\">11.4.8. </span>astroML.datasets.fetch_nasa_atlas","<span class=\"section-number\">11.4.15. </span>astroML.datasets.fetch_rrlyrae_combined","<span class=\"section-number\">11.4.14. </span>astroML.datasets.fetch_rrlyrae_mags","<span class=\"section-number\">11.4.21. </span>astroML.datasets.fetch_rrlyrae_templates","<span class=\"section-number\">11.4.4. </span>astroML.datasets.fetch_sdss_S82standards","<span class=\"section-number\">11.4.3. </span>astroML.datasets.fetch_sdss_corrected_spectra","<span class=\"section-number\">11.4.22. </span>astroML.datasets.fetch_sdss_filter","<span class=\"section-number\">11.4.7. </span>astroML.datasets.fetch_sdss_galaxy_colors","<span class=\"section-number\">11.4.10. </span>astroML.datasets.fetch_sdss_specgals","<span class=\"section-number\">11.4.2. </span>astroML.datasets.fetch_sdss_spectrum","<span class=\"section-number\">11.4.9. </span>astroML.datasets.fetch_sdss_sspp","<span class=\"section-number\">11.4.23. </span>astroML.datasets.fetch_vega_spectrum","<span class=\"section-number\">11.4.13. </span>astroML.datasets.fetch_wmap_temperatures","<span class=\"section-number\">11.4.24. </span>astroML.datasets.generate_mu_z","<span class=\"section-number\">11.2.2.3. </span>astroML.density_estimation.EmpiricalDistribution","<span class=\"section-number\">11.2.2.4. </span>astroML.density_estimation.FunctionDistribution","<span class=\"section-number\">11.2.2.2. </span>astroML.density_estimation.KNeighborsDensity","<span class=\"section-number\">11.2.2.1. </span>astroML.density_estimation.XDGMM","<span class=\"section-number\">11.2.1.2. </span>astroML.density_estimation.bayesian_blocks","<span class=\"section-number\">11.2.1.5. </span>astroML.density_estimation.freedman_bin_width","<span class=\"section-number\">11.2.1.1. </span>astroML.density_estimation.histogram","<span class=\"section-number\">11.2.1.3. </span>astroML.density_estimation.knuth_bin_width","<span class=\"section-number\">11.2.1.4. </span>astroML.density_estimation.scotts_bin_width","<span class=\"section-number\">11.7.1. </span>astroML.dimensionality.iterative_pca","<span class=\"section-number\">11.9.3. </span>astroML.filters.min_component_filter","<span class=\"section-number\">11.9.1. </span>astroML.filters.savitzky_golay","<span class=\"section-number\">11.9.2. </span>astroML.filters.wiener_filter","<span class=\"section-number\">11.10.1. </span>astroML.fourier.FT_continuous","<span class=\"section-number\">11.10.2. </span>astroML.fourier.IFT_continuous","<span class=\"section-number\">11.10.3. </span>astroML.fourier.PSD_continuous","<span class=\"section-number\">11.10.5. </span>astroML.fourier.sinegauss","<span class=\"section-number\">11.10.6. </span>astroML.fourier.sinegauss_FT","<span class=\"section-number\">11.10.7. </span>astroML.fourier.sinegauss_PSD","<span class=\"section-number\">11.10.4. </span>astroML.fourier.wavelet_PSD","<span class=\"section-number\">11.3.1.3. </span>astroML.linear_model.BasisFunctionRegression","<span class=\"section-number\">11.3.1.1. </span>astroML.linear_model.LinearRegression","<span class=\"section-number\">11.3.1.4. </span>astroML.linear_model.NadarayaWatson","<span class=\"section-number\">11.3.1.2. </span>astroML.linear_model.PolynomialRegression","<span class=\"section-number\">11.3.2.1. </span>astroML.linear_model.TLS_logL","<span class=\"section-number\">11.11.1. </span>astroML.lumfunc.Cminus","<span class=\"section-number\">11.11.2. </span>astroML.lumfunc.binned_Cminus","<span class=\"section-number\">11.11.3. </span>astroML.lumfunc.bootstrap_Cminus","<span class=\"section-number\">11.1.2.1. </span>astroML.plotting.MultiAxes","<span class=\"section-number\">11.1.1.1. </span>astroML.plotting.hist","<span class=\"section-number\">11.1.1.2. </span>astroML.plotting.scatter_contour","<span class=\"section-number\">11.13.1. </span>astroML.resample.bootstrap","<span class=\"section-number\">11.13.2. </span>astroML.resample.jackknife","<span class=\"section-number\">11.6.1. </span>astroML.stats.binned_statistic","<span class=\"section-number\">11.6.2. </span>astroML.stats.binned_statistic_2d","<span class=\"section-number\">11.6.3. </span>astroML.stats.binned_statistic_dd","<span class=\"section-number\">11.6.8. </span>astroML.stats.bivariate_normal","<span class=\"section-number\">11.6.7. </span>astroML.stats.fit_bivariate_normal","<span class=\"section-number\">11.6.10. </span>astroML.stats.linear","<span class=\"section-number\">11.6.6. </span>astroML.stats.mean_sigma","<span class=\"section-number\">11.6.5. </span>astroML.stats.median_sigmaG","<span class=\"section-number\">11.6.4. </span>astroML.stats.sigmaG","<span class=\"section-number\">11.6.9. </span>astroML.stats.trunc_exp","<span class=\"section-number\">11.5.2.2. </span>astroML.time_series.ACF_EK","<span class=\"section-number\">11.5.2.1. </span>astroML.time_series.ACF_scargle","<span class=\"section-number\">11.5.1.5. </span>astroML.time_series.MultiTermFit","<span class=\"section-number\">11.5.2.4. </span>astroML.time_series.generate_damped_RW","<span class=\"section-number\">11.5.2.3. </span>astroML.time_series.generate_power_law","<span class=\"section-number\">11.5.1.1. </span>astroML.time_series.lomb_scargle","<span class=\"section-number\">11.5.1.2. </span>astroML.time_series.lomb_scargle_bootstrap","<span class=\"section-number\">11.5.1.3. </span>astroML.time_series.multiterm_periodogram","<span class=\"section-number\">11.5.1.4. </span>astroML.time_series.search_frequencies","Notebooks","<no title>","<no title>","<span class=\"section-number\">9. </span>Supervised Learning: Classification","<span class=\"section-number\">5. </span>Unsupervised Learning: Clustering","<span class=\"section-number\">6. </span>Two-point Correlation Functions","<span class=\"section-number\">3. </span>Data Sets","<span class=\"section-number\">4. </span>Unsupervised Learning: Density Estimation","<span class=\"section-number\">7. </span>Unsupervised Learning: Dimensionality Reduction","User guide","<span class=\"section-number\">2. </span>Installation of astroML","<span class=\"section-number\">1. </span>Introduction","<span class=\"section-number\">8. </span>Supervised Learning: Regression","<span class=\"section-number\">12. </span>Other Resources","<span class=\"section-number\">10. </span>Time Series Analysis","astroML workshop at the 235th Meeting of the American Astronomical Society"],titleterms:{"2020":129,"235th":129,"2mass":120,"class":33,"function":[33,119],"import":124,acf_ek:105,acf_scargl:106,algorithm:6,american:129,analysi:[27,33,128],aperiod:33,astroml:[29,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,124,129],astronom:129,astronomi:[32,33],atla:[18,120],author:2,basisfunctionregress:82,bayesian:[7,121],bayesian_block:66,below:126,binned_cminu:88,binned_statist:95,binned_statistic_2d:96,binned_statistic_dd:97,bivariate_norm:98,block:[7,121],book:1,bootstrap:93,bootstrap_cminu:89,bootstrap_two_point:35,bootstrap_two_point_angular:36,both:126,cach:120,catalog:[8,15,17,20,120],cite:32,classif:[33,34,117],cluster:118,cminu:87,code:3,color:22,combin:120,conda:124,contribut:3,contributor:2,core:124,correct:[14,120],correl:[33,35,36,37,38,119],cross:8,curs:5,curv:120,data:[6,11,15,30,32,120,126],dataset:[33,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61],deconvolut:121,densiti:[33,121],density_estim:[33,62,63,64,65,66,67,68,69,70],depend:[124,126],develop:[4,32],diagram:[13,24],dimension:[5,33,71,122],document:3,domain:120,download:[10,32],dr7:120,empiricaldistribut:62,error:126,estim:[33,121],exampl:[3,10,11,26,29,32,126],extrem:121,fetch_dr7_quasar:43,fetch_great_wal:44,fetch_hogg2010test:45,fetch_imaging_sampl:46,fetch_ligo_bigdog:39,fetch_ligo_larg:40,fetch_linear_geneva:41,fetch_linear_sampl:42,fetch_moving_object:47,fetch_nasa_atla:48,fetch_rrlyrae_combin:49,fetch_rrlyrae_mag:50,fetch_rrlyrae_templ:51,fetch_sdss_corrected_spectra:53,fetch_sdss_filt:54,fetch_sdss_galaxy_color:55,fetch_sdss_s82standard:52,fetch_sdss_specg:56,fetch_sdss_spectrum:57,fetch_sdss_sspp:58,fetch_vega_spectrum:59,fetch_wmap_temperatur:60,figur:1,filter:[21,33,72,73,74],fit:33,fit_bivariate_norm:99,fourier:[33,75,76,77,78,79,80,81],freedman_bin_width:67,from:124,ft_continu:75,functiondistribut:63,galaxi:[22,25],galleri:32,gaussian:9,gener:[3,29],generate_damped_rw:108,generate_mu_z:61,generate_power_law:109,gmmbay:34,great:16,guid:[32,123],healpi:27,healpix:28,hess:13,hist:91,histogram:[7,33,68,121],ift_continu:76,imag:[23,120],independ:126,index:124,instal:124,introduct:125,iterative_pca:71,jackknif:94,januari:129,kernel:121,kneighborsdens:64,knuth_bin_width:69,learn:[30,32,117,118,121,122,126],let:126,light:120,ligo:[12,120],line:24,linear:[9,33,100,120,126],linear_model:[33,82,83,84,85,86],linearregress:83,link:124,load:33,locat:120,lomb_scargl:110,lomb_scargle_bootstrap:111,lumfunc:[33,87,88,89],luminos:33,lyra:[19,120],machin:[30,32],magnitud:19,maintain:2,map:120,match:8,mean_sigma:101,measur:126,median_sigmag:102,meet:129,min_component_filt:72,mine:32,model:30,mondai:129,move:17,multiax:90,multiterm_periodogram:112,multitermfit:107,nadarayawatson:84,nasa:[18,120],nearest:121,neighbor:[31,121],notebook:114,object:17,obtain:3,option:124,other:127,packag:[2,124],paramet:[13,120],period:33,philosophi:125,photometr:31,photometri:120,pipelin:120,plot:[12,28,32,33,90,91,92],point:119,polynomialregress:85,power:[12,27],process:[6,10],psd_continu:77,python:124,quasar:[15,120],ratio:[5,24],redshift:31,reduct:[33,122],refer:[7,16,17,24,33,121],regress:[33,126],releas:15,resampl:[33,93,94],resourc:127,right:121,sampl:[25,120],savitzky_golai:73,scatter_contour:92,scotts_bin_width:70,sdss:[10,15,16,17,20,21,22,23,24,25,26,120],search_frequ:113,segu:120,seri:[33,128],set:[11,120],sigmag:103,simpl:126,simul:126,sinegauss:78,sinegauss_ft:79,sinegauss_psd:80,sloan:[18,120],societi:129,sourc:[3,124],spectra:[10,14,120],spectroscop:[25,120],spectrum:[12,26,27],standard:[20,120],star:[20,120],stat:[33,95,96,97,98,99,100,101,102,103,104],statist:33,stellar:[13,120],stripe:120,sum:9,supervis:[117,126],survei:120,temperatur:120,templat:120,test:[3,124],textbook:[32,125],time:[33,120,128],time_seri:[33,105,106,107,108,109,110,111,112,113],tls_logl:86,tool:33,transform:33,trunc_exp:104,tutori:32,two:119,two_point:37,two_point_angular:38,unsupervis:[118,121,122],use:126,user:[32,123],variabl:126,volum:5,wai:121,wall:16,wavelet:33,wavelet_psd:81,wiener_filt:74,wmap:[27,28,120],workshop:129,xdgmm:65}})